docs/CLI.md

CLI

WIP

Dataset

Dataset.bat webui (python webui_dataset.py) consists of slice audio and transcribe wavs.

Slice audio

python slice.py -i <input_dir> -o <output_dir> -m <min_sec> -M <max_sec>

Required:

• input_dir: Path to the directory containing the audio files to slice.
• output_dir: Path to the directory where the sliced audio files will be saved.

Optional:

• min_sec: Minimum duration of the sliced audio files in seconds (default 2).
• max_sec: Maximum duration of the sliced audio files in seconds (default 12).

Transcribe wavs

python transcribe.py -i <input_dir> -o <output_file> --speaker_name <speaker_name>

Required:

• input_dir: Path to the directory containing the audio files to transcribe.
• output_file: Path to the file where the transcriptions will be saved.
• speaker_name: Name of the speaker.

Optional

• --initial_prompt: Initial prompt to use for the transcription (default value is specific to Japanese).
• --device: cuda or cpu (default: cuda).
• --language: jp, en, or en (default: jp).
• --model: Whisper model, default: large-v3
• --compute_type: default: bfloat16

Train

Train.bat webui (python webui_train.py) consists of the following.

Preprocess audio

python resample.py -i <input_dir> -o <output_dir> [--normalize] [--trim]

Required:

• input_dir: Path to the directory containing the audio files to preprocess.
• output_dir: Path to the directory where the preprocessed audio files will be saved.

TO BE WRITTEN (WIP)

これいる？