Comments (1)
Actually, I did not do a hyperparameter tuning of it, you can try both :) In theory, since we want the Gaussian to sit at individual data points and then learn that vector field I tried a small sigma which worked just fine.
But if you do find some differences let me know :)
Regards,
Shivam
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Related Issues (20)
- Possible to manipulate text projection to elongate phonemes controllably? [Question] HOT 22
- Matcha-TTS access denied HOT 3
- How are short utterances performing ? HOT 2
- what should be the maximum duration of the sound? HOT 2
- What parameters could you suggest to tweak to improve model perfomance? HOT 2
- ONNX inference is around 5 times slower than Pytorch when using GPU HOT 4
- Inference is not deterministic? HOT 4
- Could you explain transformations before applying MAS? HOT 4
- training multi-gpu does not progress HOT 5
- Conformer and Time Embeddings HOT 2
- gradio 4 removed `Box` HOT 4
- [error] git clone HOT 3
- sampling rate problem HOT 2
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- multi speaker model doesnt seem to pause well between sentences, compared with the single speaker model HOT 1
- No matching distribution found for piper-phonemize HOT 2
- About batch inference for multi-speakers HOT 1
- Error when trying to train on a multispeaker dataset HOT 2
- UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor HOT 7
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