Welcome to Disvoice’s documentation!

DisVoice is a python framework designed to compute features from speech files. Disvoice computes glottal, phonation, articulation, prosody, phonological, and features representation learnig strategies using autoencders. The features can be computed both from sustained vowels and continuous speech utterances with the aim to recognize praliguistic aspects from speech.

The features can be used in classifiers to recognize emotions, or communication capabilities of patients with different speech disorders including diseases with functional origin such as larinx cancer or nodules; craneo-facial based disorders such as hipernasality developed by cleft-lip and palate; or neurodegenerative disorders such as Parkinson’s or Hungtinton’s diseases.

The features are also suitable to evaluate mood problems like depression based on speech patterns.

For additional details about each feature type, and how to use DisVoice, please check

• Glottal features
• Phonation features
• Articulation features
• Prosody features
• Phonological features
• Representation learning features
• Need Help?
• References
  • glottal features
  • phonation features
  • articulation features
  • prosody features
  • phonological features
  • Representation learning features

Installation

From the source file:

git clone https://github.com/jcvasquezc/disvoice
cd disvoice
bash install.sh

Indices and tables

• Index
• Module Index
• Search Page

Help

If you have trouble with Disvoice, please write to Camilo Vasquez at: juan.vasquez@fau.de