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stt/de/vosk-model-de-0.21.7z

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stt/de/vosk-model-de-0.21/README

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+German model from Alpha Cephei
+
+Trained on Tuda-de, SWC, MAI-labs and Commonvoice data with 8khz, so should work with telephony.
+
+RNNLM/LM trained on large corpora
+
+%WER 11.33 [ 16653 / 147027, 3725 ins, 1338 del, 11590 sub ] exp/chain/tdnn/decode_test-cv-dev_rnnlm/wer_13_0.5
+%WER 11.99 [ 17448 / 145479, 3391 ins, 1768 del, 12289 sub ] exp/chain/tdnn/decode_test-cv-test_rnnlm/wer_14_0.5
+%WER 24.10 [ 2897 / 12023, 366 ins, 857 del, 1674 sub ] exp/chain/tdnn/decode_test-podcast_rnnlm/wer_11_0.0
+%WER 9.30 [ 6471 / 69600, 1403 ins, 670 del, 4398 sub ] exp/chain/tdnn/decode_test-tuda_rnnlm/wer_10_1.0
+
+Previous mdoel 0.6 results
+
+%WER 11.22 [ 7810 / 69600, 1667 ins, 824 del, 5319 sub ] exp/chain/tdnn/decode_test-tuda_rescore/wer_12_1.0

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+--num-mel-bins=30
+--num-ceps=30
+--low-freq=100
+--high-freq=3700
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stt/de/vosk-model-de-0.21/conf/model.conf

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+--max-active=7000
+--beam=13.0
+--lattice-beam=6.0
+--acoustic-scale=1.0
+--frame-subsampling-factor=3
+--endpoint.silence-phones=1:2:3:4:5:6:7:8:9:10
+--endpoint.rule2.min-trailing-silence=0.5
+--endpoint.rule3.min-trailing-silence=1.0
+--endpoint.rule4.min-trailing-silence=2.0

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