Abkhazia’s documentation¶
Note
The source code is available at https://www.github.com/bootphon/abkhazia.
The abkhazia project makes it easy to obtain simple baselines for supervised ASR (using Kaldi) and ABX tasks (using ABXpy) on the large corpora of speech recordings typically used in speech engineering, linguistics or cognitive science research. To this end, abkhazia provides the following:
the definition of a standard format for speech corpora, largely inspired from the typical format used for kaldi recipes
a
abkhaziacommand-line tool for importing speech corpora to that standard format and performing various tasks on it,a Python library that can be extended to new corpora and new ASR models
verifying the internal consistency of the data
extracting some standard statistics about the composition of the corpus
training supervised ASR models on the corpus with kaldi
computing ABX discriminability scores in various ABX tasks defined on the corpus
Abkhazia also comes with a set of recipes for specific corpora, which
can be applied to the raw distribution of these corpora directly to
obtain a version in standard format. The only requirement is to have
access to the raw distributions. Unfortunately, unlike most other
domains, large speech corpora are most of the time not freely
available. List the list of corpora supported in abkhazia with
abkhazia prepare --help