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@@ -7,6 +7,8 @@ library_name: onnx
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  tags:
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  - piper
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  - tts
 
 
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  ---
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  ## ⚠️ Initial Checkpoint
@@ -21,7 +23,7 @@ This model is after just 5 epochs on ~30% of total data I curated (synthetic + n
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  <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/8bRegOeimX1A6VCyjQUW-.wav"></audio>
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  <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/-ww0FdqtPPnTwZ2Kasl54.wav"></audio>
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- Currently, I'm refining the dataset as I'm not satisfied with its quality. I will resume finetuning after.
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  Also running ablations on the best ratio of synthetic and natural data.
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@@ -31,6 +33,8 @@ Trying to push the boundaries of audio generated by a mere 63 MB model.
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  ## 🙏 Acknowledgements
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- [Bryce Beattie](https://brycebeattie.com/files/tts/)
 
 
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  [Piper TTS](https://github.com/rhasspy/piper)
 
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  tags:
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  - piper
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  - tts
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+ datasets:
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+ - Jinsaryko/Elise
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  ---
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  ## ⚠️ Initial Checkpoint
 
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  <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/8bRegOeimX1A6VCyjQUW-.wav"></audio>
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  <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/-ww0FdqtPPnTwZ2Kasl54.wav"></audio>
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+ Currently, I'm refining the synthetic dataset as I'm not satisfied with its quality. I will resume finetuning after.
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  Also running ablations on the best ratio of synthetic and natural data.
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  ## 🙏 Acknowledgements
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+ [Bryce Beattie](https://brycebeattie.com/files/tts/) for training the Kristin model.
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+
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+ Reference Audio from datasets by [@Jinsaryko](https://huggingface.co/Jinsaryko)
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  [Piper TTS](https://github.com/rhasspy/piper)