mahta.fetrat
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ManaTTS-Persian-Speech-Dataset
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ManaTTS is the largest open Persian speech dataset with 86+ hours of transcribed audio. Includes data collection pipeline and tools. Suitable for Persian text-to-speech models.
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ManaTTS-Persian-Speech-Dataset/licenses/README.md

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add third party licenses
8 months ago
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  1. # Third-Party Licenses

  2. 

  3. This directory contains the licenses for the third-party tools and libraries used in this project. Below is a list of the tools along with their licenses.

  4. 

  5. ## Tools and Licenses

  6. 

  7. | Tool Name      | Usage                                                                  | Repository Page                                                                       | License    |

  8. |----------------|------------------------------------------------------------------------|--------------------------------------------------------------------------------------|------------|

  9. | Spleeter       | Source separation (remove background music)                           | [GitHub](https://github.com/deezer/spleeter)                                         | MIT        |

  10. | Parsi.io       | Number extraction & number to text conversion                          | [GitHub](https://github.com/language-ml/parsi.io)                                    | Apache-2.0 |

  11. | Hazm           | Text normalization                                                     | [GitHub](https://github.com/roshan-research/hazm)                                     | MIT        |

  12. | Pydub          | Silence detection/removal                                              | [GitHub](https://github.com/jiaaro/pydub)                                            | MIT        |

  13. | Perpos         | Part of speech tagging for sentence tokenization                       | [GitHub](https://github.com/mhbashari/perpos)                                        | MIT        |

  14. | Vosk           | Forced alignment                                                       | [GitHub](https://github.com/alphacep/vosk)                                           | Apache-2.0 |

  15. | Whisper-fa     | Forced alignment                                                       | [HuggingFace](https://huggingface.co/speechbrain/asr-whisper-large-v2-commonvoice-fa) | Apache-2.0 |

  16. | Wav2vec2-v3    | Forced alignment                                                       | [HuggingFace](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3)       | -          |

  17. | Wav2vec2-fa    | Forced alignment                                                       | [GitHub](https://github.com/Hamtech-ai/wav2vec2-fa)                                  | Apache-3.0 |

  18. | Hezar          | Forced alignment                                                       | [GitHub](https://github.com/hezarai/hezar)                                           | Apache-2.0 |

  19. | JiWER          | CER calculation                                                        | [GitHub](https://github.com/jitsi/jiwer)                                             | Apache-2.0 |

  20. 

  21. ## License Files

  22. 

  23. This directory also contains the actual license files for each tool:

  24. 

  25. - [Spleeter License (MIT)](spleeter.txt)

  26. - [Parsi.io License (Apache-2.0)](parsi_io.txt)

  27. - [Hazm License (MIT)](hazm.txt)

  28. - [Pydub License (MIT)](pydub.txt)

  29. - [Perpos License (MIT)](perpos.txt)

  30. - [Vosk License (Apache-2.0)](vosk.txt)

  31. - [Whisper-fa License (Apache-2.0)](whisper_fa.txt)

  32. - [Wav2vec2-fa License (Apache-3.0)](wav2vec2_fa.txt)

  33. - [Hezar License (Apache-2.0)](hezar.txt)

  34. - [JiWER License (Apache-2.0)](jiwer.txt)

  35. 

  36. Please refer to these files for the full text of each license.