Metadata-Version: 2.3
Name: ttsds
Version: 0.0.2
Project-URL: Documentation, https://github.com/ttsds/ttsds#readme
Project-URL: Issues, https://github.com/ttsds/ttsds/issues
Project-URL: Source, https://github.com/ttsds/ttsds
Author-email: Christoph Minixhofer <christoph.minixhofer@gmail.com>
License-Expression: MIT
License-File: LICENSE.txt
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8
Requires-Dist: allosaurus>=0.1.0
Requires-Dist: jiwer>=2.2.0
Requires-Dist: librosa>=0.10.0
Requires-Dist: lightning>=1.3.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: openai-whisper==20231117
Requires-Dist: pandas>=1.3.0
Requires-Dist: pesq>=0.0.1
Requires-Dist: pyannote-audio==3.1.*
Requires-Dist: pyworld>=0.2.0
Requires-Dist: statsmodels>=0.12.0
Requires-Dist: torch>=2.0.0
Requires-Dist: tqdm>=4.61.0
Requires-Dist: transformers>=4.0.0
Requires-Dist: voicefixer>=0.1.0
Description-Content-Type: text/markdown

# ttsds

[![PyPI - Version](https://img.shields.io/pypi/v/ttsds.svg)](https://pypi.org/project/ttsds)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ttsds.svg)](https://pypi.org/project/ttsds)

## Installation

### Requirements

- Python 3.8+
- System packages: ffmpeg, automake, autoconf, unzip, sox, gfortran, subversion, libtool
- Simple_hifigan, wvmos and wespeaker are not available on PyPi, so you need to install them manually.
    - https://github.com/wenet-e2e/wespeaker
    - https://github.com/AndreevP/wvmos
    - https://github.com/MiniXC/simple_hifigan
- On some systems, the fairseq installation may fail due to conflicting dependencies. In this case, you can install this fork of fairseq https://github.com/MiniXC/fairseq-noconf

### Pip

```console
pip install ttsds
```

### Caching

Please set ``TTSDS_CACHE_DIR`` environment variable to a directory where you want to cache the downloaded models and data.

## License

`ttsds` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
