search

yeyupiaoling / Whisper-Finetune

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment
Apache License 2.0
866 stars 143 forks source link

[CONTRIBUTION] Speech dataset Generator #58

Closed davidmartinrius closed 8 months ago

davidmartinrius commented 8 months ago

Hi everyone!

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 can find it useful.

Here are the key functionalities of the project:

  1. Dataset Generation: The project allows for the creation of 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: The project focuses on improving the quality of the audio.

  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.

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