1. Installation

git clone https://github.com/hoho303/Python-Test-Qlay
cd Python-Test-Qlay
pip install -r requirements.txt

2. Usage

2.1. Voice Seperation

python voice_separate.py <input_url> --num-speakers --out-file <output_file>

• input_url: Youtube url of the input audio file, default is None
• num-speakers: Number of speakers in the audio file, default is 1
• output_file: Path to save the results, default is out.json

Example:

python voice_separate.py https://www.youtube.com/watch?v=54AYOd5S7uo --num-speakers 1 --out-file output.json

2.2 Score Accent

python score_accent.py <input_url> --num-speakers --out-file <output_file>

3. Training

You can see the details of the training process for each model in the corresponding folder:

• Speaker Diarization
• Audio Speech Recognition
• Grammar Correction

4. Demo

You can see the demo of the project in the video below: https://drive.google.com/file/d/1RzBLR_xwoIwhL9Zknp4fxeE0o9DtgCxs/