bbruhh / phonet

Keras-based python framework to compute phonological posterior probabilities from audio files

Phonet

target:	https://phonet.readthedocs.io/en/latest/?badge=latest
alt:	Documentation Status

This toolkit compute posteriors probabilities of phonological classes from audio files for several groups of phonemes according to the mode and manner of articulation.

If you are not sure about what phonological classes are, have a look at this Phonological classes tutorial

Project Documentation

The list of the phonological classes available and the phonemes that are activated for each phonological class are observed in the following Table

The list of the phonological classes available and the phonemes that are activated for each phonological class are observed in the following Table

Phonological class	Phonemes
vocalic	/a/, /e/, /i/, /o/, /u/
consonantal	/b/, /tS/, /d/, /f/, /g/, /x/, /k/, /l/, /ʎ/, /m/, /n/, /p/, /ɾ/, /r/, /s/, /t/
back	/a/, /o/, /u/
anterior	/e/, /i/
open	/a/, /e/, /o/
close	/i/, /u/
nasal	/m/, /n/
stop	/p/, /b/, /t/, /k/, /g/, /tS/, /d/
continuant	/f/, /b/, /tS/, /d/, /s/, /g/, /ʎ/, /x/
lateral	/l/
flap	/ɾ/
trill	/r/
voiced	/a/, /e/, /i/, /o/, /u/, /b/, /d/, /l/, /m/, /n/, /r/, /g/, /ʎ/
strident	/f/, /s/, /tS/
labial	/m/, /p/, /b/, /f/
dental	/t/, /d/
velar	/k/, /g/, /x/
pause	/sil/

Installation

From this repository:

git clone https://github.com/jcvasquezc/phonet
cd phonet
python setup.py

Usage

Supported features:

• Estimate probabilities of phonological classes for an audio file

Example use

Estimation of phonological classes

Estimate the phonological classes using the BGRU models for an audio file or for a folder that contains audio files inside:

python
def get_phon_wav(audio_file, feat_file, phonclass="all", plot_flag=True)

Parameter	Description
audio_file	file audio (.wav) sampled at 16 kHz
feat_file	file (.csv) to save the posteriors for the phonological classes
phonclass	phonological class to be evaluated The list of phonological classes include: "consonantal", "back", "anterior", "open", "close", "nasal", "stop", "continuant", "lateral", "flap", "trill", "voice", "strident", "labial", "dental", "velar", "pause", "vocalic" or "all"
plot_flag	True or False, whether you want plots of phonological classes or not
returns	It crates the feat_file with the estimation of the phonological classes for each time-frame of the audio file.