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Running
on
L40S
FunASR Command Line Interface
This tool provides a command-line interface for separating vocals from instrumental tracks, converting videos to audio, and performing speech-to-text transcription on the resulting audio files.
Requirements
- Python >= 3.10
- PyTorch <= 2.3.1
- ffmpeg, pydub, audio-separator[gpu].
Installation
Install the required packages:
pip install -e .[stable]
Make sure you have ffmpeg
installed and available in your PATH
.
Usage
Basic Usage
To run the tool with default settings:
python tools/sensevoice/fun_asr.py --audio-dir <audio_directory> --save-dir <output_directory>
Options
Option | Description |
---|---|
--audio-dir | Directory containing audio or video files. |
--save-dir | Directory to save processed audio files. |
--device | Device to use for processing. Options: cuda (default) or cpu. |
--language | Language of the transcription. Default is auto. |
--max_single_segment_time | Maximum duration of a single audio segment in milliseconds. Default is 20000. |
--punc | Enable punctuation prediction. |
--denoise | Enable noise reduction (vocal separation). |
Example
To process audio files in the directory path/to/audio
and save the output to path/to/output
, with punctuation and noise reduction enabled:
python tools/sensevoice/fun_asr.py --audio-dir path/to/audio --save-dir path/to/output --punc --denoise
Additional Notes
- The tool supports
both audio and video files
. Videos will be converted to audio automatically. - If the
--denoise
option is used, the tool will perform vocal separation to isolate the vocals from the instrumental tracks. - The script will automatically create necessary directories in the
--save-dir
.
Troubleshooting
If you encounter any issues, make sure all dependencies are correctly installed and configured. For more detailed troubleshooting, refer to the documentation of each dependency.