Closed davidmartinrius closed 1 month 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.
Dataset Generation: Creation of multilingual datasets with Mean Opinion Score (MOS).
Silence Removal: It includes a feature to remove silences from audio files, enhancing the overall quality.
Sound Quality Improvement: The project focuses on improving the quality of the audio.
Audio Segmentation: It can segment audio files within specified second ranges.
Transcription: The project transcribes the segmented audio, providing a textual representation.
Gender Identification: It identifies the gender of each speaker in the audio.
Pyannote Embeddings: Utilizes pyannote embeddings for speaker detection across multiple audio files.
Automatic Speaker Naming: Automatically assigns names to speakers detected in multiple audios.
Multiple Speaker Detection: Capable of detecting multiple speakers within each audio file.
Store speaker embeddings: The speakers are detected and stored in a Chroma database, so you do not need to assign a speaker name.
Syllabic and words-per-minute metrics
Feel free to explore the project at https://github.com/davidmartinrius/speech-dataset-generator
Thanks for that. I’ve started you but I’m going to close this now to clear up our issue queue. All the best
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.
Dataset Generation: Creation of multilingual datasets with Mean Opinion Score (MOS).
Silence Removal: It includes a feature to remove silences from audio files, enhancing the overall quality.
Sound Quality Improvement: The project focuses on improving the quality of the audio.
Audio Segmentation: It can segment audio files within specified second ranges.
Transcription: The project transcribes the segmented audio, providing a textual representation.
Gender Identification: It identifies the gender of each speaker in the audio.
Pyannote Embeddings: Utilizes pyannote embeddings for speaker detection across multiple audio files.
Automatic Speaker Naming: Automatically assigns names to speakers detected in multiple audios.
Multiple Speaker Detection: Capable of detecting multiple speakers within each audio file.
Store speaker embeddings: The speakers are detected and stored in a Chroma database, so you do not need to assign a speaker name.
Syllabic and words-per-minute metrics
Feel free to explore the project at https://github.com/davidmartinrius/speech-dataset-generator