[CONTRIBUTION] Speech Dataset Generator

Hi everyone!

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:

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: It improves the quality of the audio when needed.
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
Multiple input sources: You can either use your own files or download content by pasting URLs from sources such as YouTube, LibriVox and TED Talks.