Simple Speech Features
Introduction
simple-speech-features is a simple, straight-forward Python demonstration for extracting and manipulating
acoustic and prosodic features from sound waves based on Praat
and Parselmouth. All speech extraction utilities
and helper functions are included in feature_extraction_utils.py. The default values for parameters
and information in the docstrings are directly from Praat.
Getting Started
- Clone this repository:
git clone https://github.com/uzaymacar/speech-features.git - Install Parselmouth:
pip install praat-parselmouth - Start extracting speech features on your datasets as shown in
main.ipynb!
References
- Jadoul, Y., Thompson, B., & de Boer, B. (2018). Introducing Parselmouth: A Python interface to Praat. Journal of Phonetics, 71, 1-15. https://doi.org/10.1016/j.wocn.2018.07.001
- http://www.fon.hum.uva.nl/praat/manual/Query.html
- http://www.fon.hum.uva.nl/rob/NKI_TEVA/TEVA/HTML/Analysis.html
- Feinberg, D. R. (2019, October 8). Parselmouth Praat Scripts in Python. https://doi.org/10.17605/OSF.IO/6DWR3
- http://practicalcryptography.com/miscellaneous/machine-learning/guide-mel-frequency-cepstral-coefficients-mfccs/
- Sample sound file (
sample.wav) acquired from http://www.voiptroubleshooter.com/open_speech/american.html