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Hello,
400 Hz is fine for read speech, but not suitable for expressive / emotional TTS applications. For example,
[0001_001491](https://github.com/espnet/espnet/files/11870982/0001_001491.txt) (p…
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# NVIDIA NeMo (ByT5 G2P and G2P-Conformer):
> NVIDIA NeMo provides grapheme-to-phoneme models for various languages, including **German**.
> The ByT5 G2P model is based on a neural network and can…
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When I run the sample script I keep getting this error message among others...not sure how dire it is or whether it even impacts performance...
```
You set `add_prefix_space`. The tokenizer needs …
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Hey Masaya, Ryuichi, Yuma, Takuya and Kentaro,
Congratulations on the release of the LibriTTS-P dataset! It's a very valuable resource for building more expressive text-to-speech models and we can'…
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I found this TTS project and thought it might be a valid option for more realistic locally hosted TTS:
[https://github.com/suno-ai/bark](https://github.com/suno-ai/bark)
It can be installed via pi…
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![QQ截图20240310024054](https://github.com/rsxdalv/tts-generation-webui/assets/83493228/076ca128-2f13-41e0-8033-74064c7cdb88)
Translate other languages via audio files like this!
curui updated
5 months ago
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I realise that when I remove adversarial loss and feature match loss, it still works well and has no degeneration of performance. This makes me question the role of adversarial training in reduction o…
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Hello authors,
First of all, thank you for giving us an impressive repository.
For now, I want to re-trained your model with Korean language, for example KSS (korean single speaker). However, when …
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What kinds of algorithms have you used to segment such long audios? The forced aligner could have some limitation to segment a long audio at once.
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`torchaudio` is an extension library for PyTorch, designed to facilitate audio processing using the same PyTorch paradigms familiar to users of its tensor library. It provides powerful tools for audio…