| Name | EveryVoice JSON |
| Version |
0.2.0a1
JSON |
| download |
| home_page | None |
| Summary | Text-to-Speech Synthesis for the Speech Generation for Indigenous Language Education Small Teams Project |
| upload_time | 2024-11-26 21:58:32 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <3.12,>=3.10 |
| license | For everything but the exceptions listed below: MIT License Copyright (c) 2024 National Research Council Canada Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. The above work is derived from the following sources: MIT License Copyright (c) 2020 Jungil Kong. https://github.com/jik876/hifi-gan/blob/master/LICENSE Copyright (c) 2020, Chung-Ming Chien. https://github.com/ming024/FastSpeech2 Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch Copyright (c) 2021 Keon Lee. https://github.com/keonlee9420/Comprehensive-Transformer-TTS Copyright (c) 2022 Christoph Minixhofer. https://github.com/MiniXC/LightningFastSpeech2/blob/main/LICENSE Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Copyright (c) 2022 Rishikesh (ऋषिकेश). https://github.com/rishikksh20/iSTFTNet-pytorch Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. For everyvoice/preprocessor/attention_prior.py: Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. For files in everyvoice/model/feature_prediction/FastSpeech2_lightning/fs2/attn/: Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. For files in everyvoice/model/aligner/DeepForcedAligner: MIT License Copyright (c) 2020 Axel Springer Ideas Engineering GmbH Copyright (c) 2024 National Research Council Canada Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. For the module in everyvoice/text/arpabet.py: MIT License Copyright (c) 2015 Waldeilson Eder dos Santos Copyright (c) 2024 National Research Council Canada |
| keywords |
cli
tts
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
:construction: :construction: Warning! This repository is not quite ready yet. We're releasing it publicly in alpha, but it should be expected to change drastically over the coming months. :construction: :construction:
# EveryVoice TTS Toolkit 💬
[](https://codecov.io/gh/EveryVoiceTTS/EveryVoice)
[](https://docs.everyvoice.ca)
[](https://github.com/EveryVoiceTTS/EveryVoice/actions)
[](LICENSE)
This is the Text-to-Speech (TTS) toolkit used by the Small Teams "Speech Generation for Indigenous Language Education" project.
## Quickstart
### Install conda
First, you'll need to install `conda`. [Miniforge3](https://github.com/conda-forge/miniforge) is a fully open-source option which is free for all users and works well. You can also use Anaconda3 or Miniconda3 if you have or can get a license.
### Clone the repo
```sh
git clone https://github.com/EveryVoiceTTS/EveryVoice.git
cd EveryVoice
git submodule update --init
```
### Environment and installation – automated
To run EveryVoice, you need to create a new environment using Conda and Python 3.10, install all our dependencies and EveryVoice itself.
We have automated the procedure required to do all this in the script `make-everyvoice-env`, which you can run like this:
```sh
./make-everyvoice-env --name <env-name-of-your-choice>
conda activate <env-name-of-your-choice>
```
Add the option `--cuda CUDA_VERSION` if you need to override the default CUDA version, or `--cpu` to use Torch compiled for CPU use only.
### Environment and installation – manual
If the automated installation process does not work for you, or if you prefer to do the full installation manually, please refer to [EveryVoice / Installation](https://docs.everyvoice.ca/latest/install/#manual-installation).
### Documentation
Read the full [EveryVoice documentation](https://docs.everyvoice.ca/).
In particular, read the [Guides](https://docs.everyvoice.ca/latest/guides/) to get familiar with the whole process.
## Contributing
Feel free to dive in! [Open an issue](https://github.com/EveryVoiceTTS/EveryVoice/issues/new) or submit PRs.
This repo follows the [Contributor Covenant](http://contributor-covenant.org/version/1/3/0/) Code of Conduct.
Please make sure our standard Git hooks are activated, by running these commands in your sandbox (if you used our `make-everyvoice-env` script then this step is already done for you):
```sh
pip install -r requirements.dev.txt
pre-commit install
gitlint install-hook
git submodule foreach 'pre-commit install'
git submodule foreach 'gitlint install-hook'
```
Have a look at [Contributing.md](Contributing.md) for the full details on the
Conventional Commit messages we prefer, our code formatting conventions, our Git
hooks, and recommendations on how to make effective pull requests.
## Acknowledgements
This repository draws on many other wonderful code bases.
Many thanks to:
- https://github.com/nocotan/pytorch-lightning-gans
- https://github.com/rishikksh20/iSTFTNet-pytorch
- https://github.com/jik876/hifi-gan
- https://github.com/ming024/FastSpeech2
- https://github.com/MiniXC/LightningFastSpeech2
- https://github.com/DigitalPhonetics/IMS-Toucan
## Tests
Run unit tests by `python -m unittest tests/test_configs.py` or suites of tests by running `everyvoice test dev` if you have the package installed interactively.
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"description": ":construction: :construction: Warning! This repository is not quite ready yet. We're releasing it publicly in alpha, but it should be expected to change drastically over the coming months. :construction: :construction:\n\n# EveryVoice TTS Toolkit \ud83d\udcac\n\n[](https://codecov.io/gh/EveryVoiceTTS/EveryVoice)\n[](https://docs.everyvoice.ca)\n[](https://github.com/EveryVoiceTTS/EveryVoice/actions)\n[](LICENSE)\n\nThis is the Text-to-Speech (TTS) toolkit used by the Small Teams \"Speech Generation for Indigenous Language Education\" project.\n\n## Quickstart\n\n### Install conda\n\nFirst, you'll need to install `conda`. [Miniforge3](https://github.com/conda-forge/miniforge) is a fully open-source option which is free for all users and works well. You can also use Anaconda3 or Miniconda3 if you have or can get a license.\n\n### Clone the repo\n\n```sh\ngit clone https://github.com/EveryVoiceTTS/EveryVoice.git\ncd EveryVoice\ngit submodule update --init\n```\n\n### Environment and installation \u2013 automated\n\nTo run EveryVoice, you need to create a new environment using Conda and Python 3.10, install all our dependencies and EveryVoice itself.\n\nWe have automated the procedure required to do all this in the script `make-everyvoice-env`, which you can run like this:\n\n```sh\n./make-everyvoice-env --name <env-name-of-your-choice>\nconda activate <env-name-of-your-choice>\n```\n\nAdd the option `--cuda CUDA_VERSION` if you need to override the default CUDA version, or `--cpu` to use Torch compiled for CPU use only.\n\n### Environment and installation \u2013 manual\n\nIf the automated installation process does not work for you, or if you prefer to do the full installation manually, please refer to [EveryVoice / Installation](https://docs.everyvoice.ca/latest/install/#manual-installation).\n\n### Documentation\n\nRead the full [EveryVoice documentation](https://docs.everyvoice.ca/).\n\nIn particular, read the [Guides](https://docs.everyvoice.ca/latest/guides/) to get familiar with the whole process.\n\n## Contributing\n\nFeel free to dive in! [Open an issue](https://github.com/EveryVoiceTTS/EveryVoice/issues/new) or submit PRs.\n\nThis repo follows the [Contributor Covenant](http://contributor-covenant.org/version/1/3/0/) Code of Conduct.\n\nPlease make sure our standard Git hooks are activated, by running these commands in your sandbox (if you used our `make-everyvoice-env` script then this step is already done for you):\n\n```sh\npip install -r requirements.dev.txt\npre-commit install\ngitlint install-hook\ngit submodule foreach 'pre-commit install'\ngit submodule foreach 'gitlint install-hook'\n```\n\nHave a look at [Contributing.md](Contributing.md) for the full details on the\nConventional Commit messages we prefer, our code formatting conventions, our Git\nhooks, and recommendations on how to make effective pull requests.\n\n## Acknowledgements\n\nThis repository draws on many other wonderful code bases.\nMany thanks to:\n\n- https://github.com/nocotan/pytorch-lightning-gans\n- https://github.com/rishikksh20/iSTFTNet-pytorch\n- https://github.com/jik876/hifi-gan\n- https://github.com/ming024/FastSpeech2\n- https://github.com/MiniXC/LightningFastSpeech2\n- https://github.com/DigitalPhonetics/IMS-Toucan\n\n## Tests\n\nRun unit tests by `python -m unittest tests/test_configs.py` or suites of tests by running `everyvoice test dev` if you have the package installed interactively.\n",
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IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. The above work is derived from the following sources: MIT License Copyright (c) 2020 Jungil Kong. https://github.com/jik876/hifi-gan/blob/master/LICENSE Copyright (c) 2020, Chung-Ming Chien. https://github.com/ming024/FastSpeech2 Copyright (c) 2021, NVIDIA CORPORATION. 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THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Copyright (c) 2022 Rishikesh (\u090b\u0937\u093f\u0915\u0947\u0936). https://github.com/rishikksh20/iSTFTNet-pytorch Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. For everyvoice/preprocessor/attention_prior.py: Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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For files in everyvoice/model/aligner/DeepForcedAligner: MIT License Copyright (c) 2020 Axel Springer Ideas Engineering GmbH Copyright (c) 2024 National Research Council Canada Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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