File size: 61,095 Bytes
6ec0fc0 |
1 |
{"repo_or_path": "ylacombe/bark-large", "es_speaker_9": {"semantic_prompt": "speaker_embeddings/es_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_9_fine_prompt.npy"}, "v2/it_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_6_fine_prompt.npy"}, "v2/en_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_8_fine_prompt.npy"}, "ja_speaker_5": {"semantic_prompt": "speaker_embeddings/ja_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_5_fine_prompt.npy"}, "pl_speaker_8": {"semantic_prompt": "speaker_embeddings/pl_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_8_fine_prompt.npy"}, "pl_speaker_1": {"semantic_prompt": "speaker_embeddings/pl_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_1_fine_prompt.npy"}, "v2/de_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_2_fine_prompt.npy"}, "hi_speaker_1": {"semantic_prompt": "speaker_embeddings/hi_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_1_fine_prompt.npy"}, "it_speaker_1": {"semantic_prompt": "speaker_embeddings/it_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_1_fine_prompt.npy"}, "v2/pl_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_7_fine_prompt.npy"}, "it_speaker_0": {"semantic_prompt": "speaker_embeddings/it_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_0_fine_prompt.npy"}, "tr_speaker_7": {"semantic_prompt": "speaker_embeddings/tr_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_7_fine_prompt.npy"}, "it_speaker_7": {"semantic_prompt": "speaker_embeddings/it_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_7_fine_prompt.npy"}, "v2/zh_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_5_fine_prompt.npy"}, "en_speaker_9": {"semantic_prompt": "speaker_embeddings/en_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_9_fine_prompt.npy"}, "v2/zh_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_1_fine_prompt.npy"}, "v2/zh_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_9_fine_prompt.npy"}, "v2/ko_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_6_fine_prompt.npy"}, "v2/it_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_1_fine_prompt.npy"}, "v2/zh_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_6_fine_prompt.npy"}, "v2/es_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_9_fine_prompt.npy"}, "fr_speaker_6": {"semantic_prompt": "speaker_embeddings/fr_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_6_fine_prompt.npy"}, "zh_speaker_3": {"semantic_prompt": "speaker_embeddings/zh_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_3_fine_prompt.npy"}, "v2/zh_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_4_fine_prompt.npy"}, "tr_speaker_6": {"semantic_prompt": "speaker_embeddings/tr_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_6_fine_prompt.npy"}, "fr_speaker_0": {"semantic_prompt": "speaker_embeddings/fr_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_0_fine_prompt.npy"}, "en_speaker_4": {"semantic_prompt": "speaker_embeddings/en_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_4_fine_prompt.npy"}, "es_speaker_8": {"semantic_prompt": "speaker_embeddings/es_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_8_fine_prompt.npy"}, "v2/it_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_3_fine_prompt.npy"}, "v2/ru_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_4_fine_prompt.npy"}, "es_speaker_2": {"semantic_prompt": "speaker_embeddings/es_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_2_fine_prompt.npy"}, "v2/tr_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_3_fine_prompt.npy"}, "tr_speaker_5": {"semantic_prompt": "speaker_embeddings/tr_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_5_fine_prompt.npy"}, "v2/pl_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_8_fine_prompt.npy"}, "ko_speaker_7": {"semantic_prompt": "speaker_embeddings/ko_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_7_fine_prompt.npy"}, "v2/tr_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_1_fine_prompt.npy"}, "v2/it_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_5_fine_prompt.npy"}, "it_speaker_8": {"semantic_prompt": "speaker_embeddings/it_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_8_fine_prompt.npy"}, "v2/zh_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_8_fine_prompt.npy"}, "v2/es_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_5_fine_prompt.npy"}, "v2/tr_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_9_fine_prompt.npy"}, "v2/de_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_9_fine_prompt.npy"}, "v2/es_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_3_fine_prompt.npy"}, "it_speaker_4": {"semantic_prompt": "speaker_embeddings/it_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_4_fine_prompt.npy"}, "it_speaker_6": {"semantic_prompt": "speaker_embeddings/it_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_6_fine_prompt.npy"}, "v2/ko_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_3_fine_prompt.npy"}, "v2/pl_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_3_fine_prompt.npy"}, "v2/pt_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_5_fine_prompt.npy"}, "ja_speaker_7": {"semantic_prompt": "speaker_embeddings/ja_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_7_fine_prompt.npy"}, "ja_speaker_2": {"semantic_prompt": "speaker_embeddings/ja_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_2_fine_prompt.npy"}, "v2/de_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_0_fine_prompt.npy"}, "v2/es_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_1_fine_prompt.npy"}, "v2/en_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_2_fine_prompt.npy"}, "v2/hi_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_2_fine_prompt.npy"}, "it_speaker_9": {"semantic_prompt": "speaker_embeddings/it_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_9_fine_prompt.npy"}, "v2/pl_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_2_fine_prompt.npy"}, "ru_speaker_5": {"semantic_prompt": "speaker_embeddings/ru_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_5_fine_prompt.npy"}, "ja_speaker_4": {"semantic_prompt": "speaker_embeddings/ja_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_4_fine_prompt.npy"}, "hi_speaker_2": {"semantic_prompt": "speaker_embeddings/hi_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_2_fine_prompt.npy"}, "v2/ko_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_9_fine_prompt.npy"}, "de_speaker_2": {"semantic_prompt": "speaker_embeddings/de_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_2_fine_prompt.npy"}, "tr_speaker_4": {"semantic_prompt": "speaker_embeddings/tr_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_4_fine_prompt.npy"}, "v2/ja_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_5_fine_prompt.npy"}, "v2/en_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_4_fine_prompt.npy"}, "ru_speaker_3": {"semantic_prompt": "speaker_embeddings/ru_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_3_fine_prompt.npy"}, "ru_speaker_1": {"semantic_prompt": "speaker_embeddings/ru_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_1_fine_prompt.npy"}, "v2/tr_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_2_fine_prompt.npy"}, "v2/ja_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_8_fine_prompt.npy"}, "de_speaker_4": {"semantic_prompt": "speaker_embeddings/de_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_4_fine_prompt.npy"}, "ko_speaker_0": {"semantic_prompt": "speaker_embeddings/ko_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_0_fine_prompt.npy"}, "hi_speaker_9": {"semantic_prompt": "speaker_embeddings/hi_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_9_fine_prompt.npy"}, "v2/pl_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_1_fine_prompt.npy"}, "v2/hi_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_8_fine_prompt.npy"}, "v2/tr_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_6_fine_prompt.npy"}, "pt_speaker_8": {"semantic_prompt": "speaker_embeddings/pt_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_8_fine_prompt.npy"}, "ru_speaker_0": {"semantic_prompt": "speaker_embeddings/ru_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_0_fine_prompt.npy"}, "de_speaker_0": {"semantic_prompt": "speaker_embeddings/de_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_0_fine_prompt.npy"}, "ko_speaker_4": {"semantic_prompt": "speaker_embeddings/ko_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_4_fine_prompt.npy"}, "hi_speaker_8": {"semantic_prompt": "speaker_embeddings/hi_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_8_fine_prompt.npy"}, "v2/es_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_0_fine_prompt.npy"}, "pl_speaker_6": {"semantic_prompt": "speaker_embeddings/pl_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_6_fine_prompt.npy"}, "v2/zh_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_7_fine_prompt.npy"}, "v2/pt_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_4_fine_prompt.npy"}, "pl_speaker_2": {"semantic_prompt": "speaker_embeddings/pl_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_2_fine_prompt.npy"}, "zh_speaker_9": {"semantic_prompt": "speaker_embeddings/zh_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_9_fine_prompt.npy"}, "ko_speaker_3": {"semantic_prompt": "speaker_embeddings/ko_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_3_fine_prompt.npy"}, "v2/it_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_8_fine_prompt.npy"}, "v2/pt_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_0_fine_prompt.npy"}, "v2/pl_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_9_fine_prompt.npy"}, "v2/tr_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_4_fine_prompt.npy"}, "it_speaker_2": {"semantic_prompt": "speaker_embeddings/it_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_2_fine_prompt.npy"}, "tr_speaker_1": {"semantic_prompt": "speaker_embeddings/tr_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_1_fine_prompt.npy"}, "v2/en_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_3_fine_prompt.npy"}, "v2/es_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_2_fine_prompt.npy"}, "v2/ru_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_9_fine_prompt.npy"}, "ko_speaker_8": {"semantic_prompt": "speaker_embeddings/ko_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_8_fine_prompt.npy"}, "v2/pt_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_7_fine_prompt.npy"}, "v2/hi_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_5_fine_prompt.npy"}, "v2/ru_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_3_fine_prompt.npy"}, "hi_speaker_5": {"semantic_prompt": "speaker_embeddings/hi_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_5_fine_prompt.npy"}, "v2/ja_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_3_fine_prompt.npy"}, "v2/pt_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_8_fine_prompt.npy"}, "v2/de_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_1_fine_prompt.npy"}, "v2/fr_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_9_fine_prompt.npy"}, "v2/hi_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_0_fine_prompt.npy"}, "v2/ja_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_4_fine_prompt.npy"}, "pt_speaker_9": {"semantic_prompt": "speaker_embeddings/pt_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_9_fine_prompt.npy"}, "zh_speaker_5": {"semantic_prompt": "speaker_embeddings/zh_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_5_fine_prompt.npy"}, "fr_speaker_9": {"semantic_prompt": "speaker_embeddings/fr_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_9_fine_prompt.npy"}, "hi_speaker_6": {"semantic_prompt": "speaker_embeddings/hi_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_6_fine_prompt.npy"}, "it_speaker_3": {"semantic_prompt": "speaker_embeddings/it_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_3_fine_prompt.npy"}, "v2/pl_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_6_fine_prompt.npy"}, "v2/ja_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_1_fine_prompt.npy"}, "v2/ru_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_7_fine_prompt.npy"}, "v2/ru_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_6_fine_prompt.npy"}, "pt_speaker_6": {"semantic_prompt": "speaker_embeddings/pt_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_6_fine_prompt.npy"}, "zh_speaker_4": {"semantic_prompt": "speaker_embeddings/zh_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_4_fine_prompt.npy"}, "en_speaker_7": {"semantic_prompt": "speaker_embeddings/en_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_7_fine_prompt.npy"}, "v2/ja_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_6_fine_prompt.npy"}, "pt_speaker_7": {"semantic_prompt": "speaker_embeddings/pt_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_7_fine_prompt.npy"}, "v2/ko_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_5_fine_prompt.npy"}, "v2/ru_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_2_fine_prompt.npy"}, "ko_speaker_6": {"semantic_prompt": "speaker_embeddings/ko_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_6_fine_prompt.npy"}, "v2/tr_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_8_fine_prompt.npy"}, "ru_speaker_9": {"semantic_prompt": "speaker_embeddings/ru_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_9_fine_prompt.npy"}, "pt_speaker_1": {"semantic_prompt": "speaker_embeddings/pt_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_1_fine_prompt.npy"}, "pl_speaker_9": {"semantic_prompt": "speaker_embeddings/pl_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_9_fine_prompt.npy"}, "v2/en_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_9_fine_prompt.npy"}, "en_speaker_3": {"semantic_prompt": "speaker_embeddings/en_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_3_fine_prompt.npy"}, "ja_speaker_6": {"semantic_prompt": "speaker_embeddings/ja_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_6_fine_prompt.npy"}, "v2/pt_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_9_fine_prompt.npy"}, "tr_speaker_2": {"semantic_prompt": "speaker_embeddings/tr_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_2_fine_prompt.npy"}, "es_speaker_0": {"semantic_prompt": "speaker_embeddings/es_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_0_fine_prompt.npy"}, "es_speaker_3": {"semantic_prompt": "speaker_embeddings/es_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_3_fine_prompt.npy"}, "de_speaker_9": {"semantic_prompt": "speaker_embeddings/de_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_9_fine_prompt.npy"}, "ru_speaker_8": {"semantic_prompt": "speaker_embeddings/ru_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_8_fine_prompt.npy"}, "ru_speaker_4": {"semantic_prompt": "speaker_embeddings/ru_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_4_fine_prompt.npy"}, "de_speaker_1": {"semantic_prompt": "speaker_embeddings/de_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_1_fine_prompt.npy"}, "ja_speaker_1": {"semantic_prompt": "speaker_embeddings/ja_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_1_fine_prompt.npy"}, "de_speaker_3": {"semantic_prompt": "speaker_embeddings/de_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_3_fine_prompt.npy"}, "v2/ja_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_7_fine_prompt.npy"}, "zh_speaker_0": {"semantic_prompt": "speaker_embeddings/zh_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_0_fine_prompt.npy"}, "v2/hi_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_7_fine_prompt.npy"}, "v2/hi_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_1_fine_prompt.npy"}, "en_speaker_2": {"semantic_prompt": "speaker_embeddings/en_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_2_fine_prompt.npy"}, "pt_speaker_2": {"semantic_prompt": "speaker_embeddings/pt_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_2_fine_prompt.npy"}, "v2/de_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_6_fine_prompt.npy"}, "en_speaker_0": {"semantic_prompt": "speaker_embeddings/en_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_0_fine_prompt.npy"}, "v2/ja_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_0_fine_prompt.npy"}, "v2/hi_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_6_fine_prompt.npy"}, "ja_speaker_8": {"semantic_prompt": "speaker_embeddings/ja_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_8_fine_prompt.npy"}, "v2/ru_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_0_fine_prompt.npy"}, "pt_speaker_5": {"semantic_prompt": "speaker_embeddings/pt_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_5_fine_prompt.npy"}, "v2/fr_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_3_fine_prompt.npy"}, "tr_speaker_8": {"semantic_prompt": "speaker_embeddings/tr_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_8_fine_prompt.npy"}, "en_speaker_8": {"semantic_prompt": "speaker_embeddings/en_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_8_fine_prompt.npy"}, "v2/ko_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_4_fine_prompt.npy"}, "fr_speaker_7": {"semantic_prompt": "speaker_embeddings/fr_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_7_fine_prompt.npy"}, "pt_speaker_3": {"semantic_prompt": "speaker_embeddings/pt_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_3_fine_prompt.npy"}, "v2/pl_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_0_fine_prompt.npy"}, "v2/fr_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_4_fine_prompt.npy"}, "v2/en_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_0_fine_prompt.npy"}, "announcer": {"semantic_prompt": "speaker_embeddings/announcer_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/announcer_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/announcer_fine_prompt.npy"}, "v2/tr_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_7_fine_prompt.npy"}, "v2/it_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_2_fine_prompt.npy"}, "ko_speaker_5": {"semantic_prompt": "speaker_embeddings/ko_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_5_fine_prompt.npy"}, "pt_speaker_4": {"semantic_prompt": "speaker_embeddings/pt_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_4_fine_prompt.npy"}, "hi_speaker_3": {"semantic_prompt": "speaker_embeddings/hi_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_3_fine_prompt.npy"}, "v2/fr_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_1_fine_prompt.npy"}, "ja_speaker_3": {"semantic_prompt": "speaker_embeddings/ja_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_3_fine_prompt.npy"}, "v2/pt_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_1_fine_prompt.npy"}, "v2/ko_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_7_fine_prompt.npy"}, "it_speaker_5": {"semantic_prompt": "speaker_embeddings/it_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_5_fine_prompt.npy"}, "v2/ko_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_8_fine_prompt.npy"}, "fr_speaker_3": {"semantic_prompt": "speaker_embeddings/fr_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_3_fine_prompt.npy"}, "ru_speaker_7": {"semantic_prompt": "speaker_embeddings/ru_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_7_fine_prompt.npy"}, "v2/ru_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_5_fine_prompt.npy"}, "zh_speaker_2": {"semantic_prompt": "speaker_embeddings/zh_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_2_fine_prompt.npy"}, "en_speaker_6": {"semantic_prompt": "speaker_embeddings/en_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_6_fine_prompt.npy"}, "v2/ko_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_1_fine_prompt.npy"}, "hi_speaker_0": {"semantic_prompt": "speaker_embeddings/hi_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_0_fine_prompt.npy"}, "v2/tr_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_5_fine_prompt.npy"}, "pl_speaker_0": {"semantic_prompt": "speaker_embeddings/pl_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_0_fine_prompt.npy"}, "pt_speaker_0": {"semantic_prompt": "speaker_embeddings/pt_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pt_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pt_speaker_0_fine_prompt.npy"}, "v2/hi_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_9_fine_prompt.npy"}, "v2/fr_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_2_fine_prompt.npy"}, "v2/pt_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_3_fine_prompt.npy"}, "es_speaker_1": {"semantic_prompt": "speaker_embeddings/es_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_1_fine_prompt.npy"}, "v2/it_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_0_fine_prompt.npy"}, "de_speaker_6": {"semantic_prompt": "speaker_embeddings/de_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_6_fine_prompt.npy"}, "v2/fr_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_5_fine_prompt.npy"}, "v2/it_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_7_fine_prompt.npy"}, "ja_speaker_9": {"semantic_prompt": "speaker_embeddings/ja_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_9_fine_prompt.npy"}, "ru_speaker_6": {"semantic_prompt": "speaker_embeddings/ru_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_6_fine_prompt.npy"}, "v2/zh_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_0_fine_prompt.npy"}, "fr_speaker_8": {"semantic_prompt": "speaker_embeddings/fr_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_8_fine_prompt.npy"}, "v2/es_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_8_fine_prompt.npy"}, "v2/ru_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_1_fine_prompt.npy"}, "es_speaker_5": {"semantic_prompt": "speaker_embeddings/es_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_5_fine_prompt.npy"}, "v2/de_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_4_fine_prompt.npy"}, "es_speaker_6": {"semantic_prompt": "speaker_embeddings/es_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_6_fine_prompt.npy"}, "v2/en_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_6_fine_prompt.npy"}, "v2/fr_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_0_fine_prompt.npy"}, "v2/fr_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_7_fine_prompt.npy"}, "v2/it_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_4_fine_prompt.npy"}, "tr_speaker_3": {"semantic_prompt": "speaker_embeddings/tr_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_3_fine_prompt.npy"}, "fr_speaker_5": {"semantic_prompt": "speaker_embeddings/fr_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_5_fine_prompt.npy"}, "hi_speaker_7": {"semantic_prompt": "speaker_embeddings/hi_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_7_fine_prompt.npy"}, "pl_speaker_5": {"semantic_prompt": "speaker_embeddings/pl_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_5_fine_prompt.npy"}, "v2/en_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_1_fine_prompt.npy"}, "v2/zh_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_3_fine_prompt.npy"}, "ja_speaker_0": {"semantic_prompt": "speaker_embeddings/ja_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_0_fine_prompt.npy"}, "zh_speaker_7": {"semantic_prompt": "speaker_embeddings/zh_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_7_fine_prompt.npy"}, "ko_speaker_2": {"semantic_prompt": "speaker_embeddings/ko_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_2_fine_prompt.npy"}, "v2/it_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_9_fine_prompt.npy"}, "v2/en_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_5_fine_prompt.npy"}, "hi_speaker_4": {"semantic_prompt": "speaker_embeddings/hi_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_4_fine_prompt.npy"}, "v2/ru_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/ru_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ru_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ru_speaker_8_fine_prompt.npy"}, "fr_speaker_4": {"semantic_prompt": "speaker_embeddings/fr_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_4_fine_prompt.npy"}, "pl_speaker_4": {"semantic_prompt": "speaker_embeddings/pl_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_4_fine_prompt.npy"}, "v2/hi_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_3_fine_prompt.npy"}, "pl_speaker_3": {"semantic_prompt": "speaker_embeddings/pl_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_3_fine_prompt.npy"}, "v2/es_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_7_fine_prompt.npy"}, "zh_speaker_8": {"semantic_prompt": "speaker_embeddings/zh_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_8_fine_prompt.npy"}, "de_speaker_5": {"semantic_prompt": "speaker_embeddings/de_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_5_fine_prompt.npy"}, "de_speaker_7": {"semantic_prompt": "speaker_embeddings/de_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_7_fine_prompt.npy"}, "v2/hi_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_4_fine_prompt.npy"}, "v2/ko_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_2_fine_prompt.npy"}, "v2/pl_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_4_fine_prompt.npy"}, "ru_speaker_2": {"semantic_prompt": "speaker_embeddings/ru_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_2_fine_prompt.npy"}, "de_speaker_8": {"semantic_prompt": "speaker_embeddings/de_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/de_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/de_speaker_8_fine_prompt.npy"}, "v2/tr_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_0_fine_prompt.npy"}, "v2/es_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_4_fine_prompt.npy"}, "v2/fr_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_8_fine_prompt.npy"}, "es_speaker_7": {"semantic_prompt": "speaker_embeddings/es_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_7_fine_prompt.npy"}, "fr_speaker_2": {"semantic_prompt": "speaker_embeddings/fr_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_2_fine_prompt.npy"}, "v2/ja_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_2_fine_prompt.npy"}, "v2/pt_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_6_fine_prompt.npy"}, "v2/es_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_6_fine_prompt.npy"}, "v2/en_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_7_fine_prompt.npy"}, "fr_speaker_1": {"semantic_prompt": "speaker_embeddings/fr_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_1_fine_prompt.npy"}, "pl_speaker_7": {"semantic_prompt": "speaker_embeddings/pl_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_7_fine_prompt.npy"}, "zh_speaker_1": {"semantic_prompt": "speaker_embeddings/zh_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_1_fine_prompt.npy"}, "v2/de_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_7_fine_prompt.npy"}, "tr_speaker_0": {"semantic_prompt": "speaker_embeddings/tr_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_0_fine_prompt.npy"}, "tr_speaker_9": {"semantic_prompt": "speaker_embeddings/tr_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_9_fine_prompt.npy"}, "zh_speaker_6": {"semantic_prompt": "speaker_embeddings/zh_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_6_fine_prompt.npy"}, "ko_speaker_9": {"semantic_prompt": "speaker_embeddings/ko_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_9_fine_prompt.npy"}, "en_speaker_5": {"semantic_prompt": "speaker_embeddings/en_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_5_fine_prompt.npy"}, "es_speaker_4": {"semantic_prompt": "speaker_embeddings/es_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_4_fine_prompt.npy"}, "v2/ja_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_9_fine_prompt.npy"}, "v2/de_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_3_fine_prompt.npy"}, "v2/pl_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_5_fine_prompt.npy"}, "ko_speaker_1": {"semantic_prompt": "speaker_embeddings/ko_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_1_fine_prompt.npy"}, "v2/ko_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_0_fine_prompt.npy"}, "v2/pt_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_2_fine_prompt.npy"}, "v2/de_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_5_fine_prompt.npy"}, "v2/fr_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_6_fine_prompt.npy"}, "v2/zh_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_2_fine_prompt.npy"}, "en_speaker_1": {"semantic_prompt": "speaker_embeddings/en_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_1_fine_prompt.npy"}, "v2/de_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_8_fine_prompt.npy"}} |