Name | israwave JSON |
Version |
0.1.6
JSON |
| download |
home_page | None |
Summary | Hebrew text to speech on the edge |
upload_time | 2024-09-19 17:58:55 |
maintainer | None |
docs_url | None |
author | thewh1teagle |
requires_python | None |
license | None |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# israwave
Mission to create a Hebrew TTS model as powerful and user-friendly as WaveNet
## Features
- Generate sentence in less than 1ms on CPU
- Powerful text processor by espeak-ng
- Support for SSML (soon)
## Play with it!
You can play with it on [HuggingFace Space](https://huggingface.co/spaces/thewh1teagle/tts-with-israwave)
## Samples
https://github.com/user-attachments/assets/3212a800-406f-4d79-8aa1-d814eed815d6
## Setup
```console
pip install -U israwave
```
Some dependencies are only available in python version 3.12.
You also need [`israwave.onnx`](https://github.com/thewh1teagle/israwave/releases/download/v0.1.0/israwave.onnx), [`espeak-ng-data`](https://github.com/thewh1teagle/israwave/releases/download/v0.1.0/espeak-ng-data.tar.gz), and [`nakdimon.onnx`](https://github.com/thewh1teagle/israwave/releases/download/v0.1.0/nakdimon.onnx). Please see examples.
## Examples
See [examples](examples)
## Dataset
The model trained on [saspeech gold standard](https://openslr.org/134/).
## Thanks
Thanks to [Kan11](https://www.kan.org.il/) and [Shaul](https://www.kan.org.il/authors/%D7%A9%D7%90%D7%95%D7%9C-%D7%90%D7%9E%D7%A1%D7%98%D7%A8%D7%93%D7%9E%D7%A1%D7%A7%D7%99/) for providing the dataset.
Thanks to [elazarg](https://github.com/elazarg) for sharing the [Nakdimon](https://github.com/elazarg/nakdimon) diacritics model, which was instrumental in our project.
For [mush42](https://github.com/mush42) for their excellent TTS training recipe.
Raw data
{
"_id": null,
"home_page": null,
"name": "israwave",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "thewh1teagle",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/49/5c/a7590676d99909da51e57e40575953a3e19d1781b889c2166052ca1aabb3/israwave-0.1.6.tar.gz",
"platform": null,
"description": "# israwave\n\nMission to create a Hebrew TTS model as powerful and user-friendly as WaveNet\n\n## Features\n\n- Generate sentence in less than 1ms on CPU\n- Powerful text processor by espeak-ng\n- Support for SSML (soon)\n\n## Play with it!\n\nYou can play with it on [HuggingFace Space](https://huggingface.co/spaces/thewh1teagle/tts-with-israwave)\n\n## Samples\n\nhttps://github.com/user-attachments/assets/3212a800-406f-4d79-8aa1-d814eed815d6\n\n## Setup\n\n```console\npip install -U israwave\n```\n\nSome dependencies are only available in python version 3.12.\n\nYou also need [`israwave.onnx`](https://github.com/thewh1teagle/israwave/releases/download/v0.1.0/israwave.onnx), [`espeak-ng-data`](https://github.com/thewh1teagle/israwave/releases/download/v0.1.0/espeak-ng-data.tar.gz), and [`nakdimon.onnx`](https://github.com/thewh1teagle/israwave/releases/download/v0.1.0/nakdimon.onnx). Please see examples.\n\n## Examples\n\nSee [examples](examples)\n\n## Dataset\n\nThe model trained on [saspeech gold standard](https://openslr.org/134/).\n\n## Thanks\n\nThanks to [Kan11](https://www.kan.org.il/) and [Shaul](https://www.kan.org.il/authors/%D7%A9%D7%90%D7%95%D7%9C-%D7%90%D7%9E%D7%A1%D7%98%D7%A8%D7%93%D7%9E%D7%A1%D7%A7%D7%99/) for providing the dataset.\n\nThanks to [elazarg](https://github.com/elazarg) for sharing the [Nakdimon](https://github.com/elazarg/nakdimon) diacritics model, which was instrumental in our project.\n\nFor [mush42](https://github.com/mush42) for their excellent TTS training recipe.\n\n",
"bugtrack_url": null,
"license": null,
"summary": "Hebrew text to speech on the edge",
"version": "0.1.6",
"project_urls": {
"home": "https://github.com/thewh1teagle/israwave"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "f2dabf082bd2f9429ca3b9639faa733d96fd3603725abc91147e45d15390a0d0",
"md5": "57f9e1ab628db9a0f058382b81d6197d",
"sha256": "4959b7dab844f3d4126aa6baa3b067b8799b350f377b2bfa84e22ccfd2bb85e1"
},
"downloads": -1,
"filename": "israwave-0.1.6-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "57f9e1ab628db9a0f058382b81d6197d",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 9265,
"upload_time": "2024-09-19T17:58:53",
"upload_time_iso_8601": "2024-09-19T17:58:53.733237Z",
"url": "https://files.pythonhosted.org/packages/f2/da/bf082bd2f9429ca3b9639faa733d96fd3603725abc91147e45d15390a0d0/israwave-0.1.6-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "495ca7590676d99909da51e57e40575953a3e19d1781b889c2166052ca1aabb3",
"md5": "dd36b5dcbd24b4c5156e959cdd947f72",
"sha256": "289413e4fafdd9039dc8e1e80a457109ec36fbeec6180473b02cb93c7786b803"
},
"downloads": -1,
"filename": "israwave-0.1.6.tar.gz",
"has_sig": false,
"md5_digest": "dd36b5dcbd24b4c5156e959cdd947f72",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 8163,
"upload_time": "2024-09-19T17:58:55",
"upload_time_iso_8601": "2024-09-19T17:58:55.376484Z",
"url": "https://files.pythonhosted.org/packages/49/5c/a7590676d99909da51e57e40575953a3e19d1781b889c2166052ca1aabb3/israwave-0.1.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-09-19 17:58:55",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "thewh1teagle",
"github_project": "israwave",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "israwave"
}