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modelscope / KAN-TTS

KAN-TTS is a speech-synthesis training framework, please try the demos we have posted at https://modelscope.cn/models?page=1&tasks=text-to-speech
MIT License
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[CONTRIBUTION] Speech Dataset Generator #95

Open davidmartinrius opened 9 months ago

davidmartinrius commented 9 months ago

Hi everyone!

My name is David Martin Rius and I have just published this project on GitHub: https://github.com/davidmartinrius/speech-dataset-generator/

Now you can create datasets automatically with any audio or lists of audios.

I hope you find it useful.

Here are the key functionalities of the project:

  1. Dataset Generation: Creation of multilingual datasets with Mean Opinion Score (MOS).

  2. Silence Removal: It includes a feature to remove silences from audio files, enhancing the overall quality.

  3. Sound Quality Improvement: It improves the quality of the audio when needed.

  4. Audio Segmentation: It can segment audio files within specified second ranges.

  5. Transcription: The project transcribes the segmented audio, providing a textual representation.

  6. Gender Identification: It identifies the gender of each speaker in the audio.

  7. Pyannote Embeddings: Utilizes pyannote embeddings for speaker detection across multiple audio files.

  8. Automatic Speaker Naming: Automatically assigns names to speakers detected in multiple audios.

  9. Multiple Speaker Detection: Capable of detecting multiple speakers within each audio file.

  10. Store speaker embeddings: The speakers are detected and stored in a Chroma database, so you do not need to assign a speaker name.

  11. Syllabic and words-per-minute metrics

Feel free to explore the project at https://github.com/davidmartinrius/speech-dataset-generator

David Martin Rius