inaSpeechSegmenter
CNN-based audio segmentation toolkit. Allows to detect speech, music, noise and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.
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Download Latest Version (.zip)- python-package.yml
- python-publish.yml
- ISSUE_TEMPLATE.md
- __init__.py
- _version.py
- export_funcs.py
- features_vbx.py
- io.py
- pyannote_viterbi.py
- remote_utils.py
- resnet.py
- segmenter.py
- sidekit_mfcc.py
- thread_returning.py
- vbx_segmenter.py
- viterbi_utils.py
- 0021-smn-gender.csv
- 0021.mp3
- lamartine.wav
- musanmix-sm-gender.csv
- musanmix-smn-gender.csv
- musanmix-smn-gender.TextGrid
- musanmix.mp3
- musanmix.wav
- pyroserver_test.csv
- README.txt
- silence2sec-smn-gender.csv
- silence2sec.wav
- test.h5
- ina_speech_segmenter.py
- ina_speech_segmenter_pyro_client.py
- ina_speech_segmenter_pyro_client_setjobs.py
- ina_speech_segmenter_pyro_server.py
- API_Tutorial.ipynb
- API_Tutorial_VFS.ipynb
- Demo_INASPeechSegmenter.ipynb
- .dockerignore
- .gitattributes
- .gitignore
- Dockerfile
- LICENSE
- MANIFEST.in
- README.md
- run_test.py
- setup.cfg
- setup.py
- versioneer.py
# Installation Guide
1. Get the code
git clone https://github.com/ina-foss/inaSpeechSegmenter
Downloads the entire project code from GitHub to your computer.
cd inaSpeechSegmenter
Moves into the project folder you just downloaded.
2. Docker
Easy RecommendedPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker build -t inaspeechsegmenter .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 inaspeechsegmenter
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
3. Python
EasyPrerequisites
$ python -m venv env
Runs the Python script (or module).
$ pip install inaSpeechSegmenter
Installs the Python libraries listed in requirements.txt (or similar).
$ pip install .
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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