Robust yet lenient forced-aligner built on Kaldi.
1M+
Robust yet lenient forced-aligner built on Kaldi. A tool for aligning speech with text.
There are three ways to install Gentle.
Download the pre-built Mac application. This package includes a GUI that will start the server and a browser. It only works on Mac OS.
Use the Docker image. Just run docker run -P lowerquality/gentle. This works on all platforms supported by Docker.
Download the source code and run ./install.sh. Then run python3 serve.py to start the server. This works on Mac and Linux.
By default, the aligner listens at http://localhost:8765. That page has a graphical interface for transcribing audio, viewing results, and downloading data.
There is also a REST API so you can use Gentle in your programs. Here's an example of how to use the API with CURL:
curl -F "[email protected]" -F "[email protected]" "http://localhost:8765/transcriptions?async=false"
If you've downloaded the source code you can also run the aligner as a command line program:
python3 align.py audio.mp3 words.txt
The default behaviour outputs the JSON to stdout. See python3 align.py --help for options.
Content type
Image
Digest
Size
597.8 MB
Last updated
over 9 years ago
docker pull lowerquality/gentle