Contents

TTS 0.22.0

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Deep learning for Text to Speech by Coqui.

Deep learning for Text to Speech by Coqui.

Stars: 28681, Watchers: 28681, Forks: 3336, Open Issues: 71

The coqui-ai/TTS repo was created 3 years ago and the last code push was 17 minutes ago.
The project is extremely popular with a mindblowing 28681 github stars!

How to Install tts

You can install tts using pip

pip install tts

or add it to a project with poetry

poetry add tts

Package Details

Author
Eren Gölge
License
MPL-2.0
Homepage
https://github.com/coqui-ai/TTS
PyPi:
https://pypi.org/project/TTS/
Documentation:
https://github.com/coqui-ai/TTS/wiki
GitHub Repo:
https://github.com/coqui-ai/TTS

Classifiers

  • Multimedia
  • Multimedia/Sound/Audio
  • Multimedia/Sound/Audio/Speech
  • Scientific/Engineering/Artificial Intelligence
  • Software Development
  • Software Development/Libraries/Python Modules
No  tts  pypi packages just yet.

Errors

A list of common tts errors.

Code Examples

Here are some tts code examples and snippets.

GitHub Issues

The tts package has 71 open issues on GitHub

  • [Feature request] how to export any of these models to ONNX? and inference via tensorrt?
  • IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1)
  • [Bug] Formatter document looks strange.
  • [Feature request] Partnership with Jami
  • update import for load_config and load_tts_samples
  • [Feature request] Is there any chance for a stdout streaming option?
  • [Bug] Inconsistent items order
  • [Bug] Interrogative sentences do not sound like questions
  • [Question] Implement preprocessing on datasets?
  • feat(tokenizer): add digraph support for TTSTokenizer
  • Tokenizer API (Rebased)
  • Update models (Rebased)
  • [Bug] TTS.tts.configs.shared_configs.CharactersConfig does not allow lists
  • [Bug] Document proper handling of digraphs
  • Add argument to enable dp speaker conditioning in VITS

See more issues on GitHub

Related Packages & Articles

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datasets 2.18.0

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nlp 0.4.0

HuggingFace/NLP is an open library of NLP datasets.

pytorch-lightning 2.2.1

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.