Montreal Forced Aligner is a package for aligning speech corpora using Kaldi functionality.

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  • License: MIT License (MIT)
  • Author: Montreal Corpus Tools
  • Maintainer: Michael McAuliffe
  • Tags phonology, corpus, phonetics, alignment, segmentation, transcription, g2p, language modeling
  • Requires: Python >=3.8
Classifiers

Project description

Montreal Forced Aligner

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The Montreal Forced Aligner is a command line utility for performing forced alignment of speech datasets using Kaldi (http://kaldi-asr.org/).

Please see the documentation http://montreal-forced-aligner.readthedocs.io for installation and usage.

If you run into any issues, please check the mailing list for fixes/workarounds or to post a new issue.

Installation

You can install MFA either entirely through conda or a mix of conda for Kaldi and Pynini dependencies and Python packaging for MFA itself

Conda installation

MFA is hosted on conda-forge and can be installed via:

conda install -c conda-forge montreal-forced-aligner

in your environment of choice.

Source installation

If you'd like to install a local version of MFA or want to use the development set up, the easiest way is first create the dev environment from the yaml in the repo root directory:

conda env create -n mfa-dev -f environment.yml

Alternatively, the dependencies can be installed via:

conda install -c conda-forge python=3.8 kaldi sox librosa biopython praatio tqdm requests colorama pyyaml pynini openfst baumwelch ngram

MFA can be installed in develop mode via:

pip install -e .[dev]

You should be able to see appropriate output from mfa version

Development

The test suite is run via tox -e py38-win or tox -e py38-unix depending on the OS, and the docs are generated via tox -e docs

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Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mmcauliffe from gravatar.com mmcauliffe

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Montreal Corpus Tools
  • Maintainer: Michael McAuliffe
  • Tags phonology, corpus, phonetics, alignment, segmentation, transcription, g2p, language modeling
  • Requires: Python >=3.8
Classifiers

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