Welcome to SIDEKIT 1.4.0 documentation!

SIDEKIT is an open source package for Speaker and Language recognition.

The aim of SIDEKIT is to provide an educational and efficient toolkit for speaker/language recognition

including the whole chain of treatment that goes from the audio data to the analysis of the system performance.

Authors

Anthony Larcher & Kong Aik Lee & Sylvain Meignier

Version

1.4.0 of 2019/01/22

See also

News for SIDEKIT 1.4.0:

• new X-vector extraxctor

• new DataSets for on-the-fly processing

What’s here?

• An Overview of SIDEKIT
• How to download or install SIDEKIT
• Customize your sidekit via environment variables
• API description
• Tutorials
• Additional materials

Citation

When using SIDEKIT for research, please cite:

Anthony Larcher, Kong Aik Lee and Sylvain Meignier,

An extensible speaker identification SIDEKIT in Python,

in International Conference on Audio Speech and Signal Processing (ICASSP), 2016

Documentation

This documentation is available in PDF format here

Contacts and info

• Contact

Sponsors

Indices and tables

• Index

• Module Index

• Search Page