SpeechPy - A Library for Speech Processing and Recognition

TL;DR

SpeechPy is an open-source Python library that offers essential speech preprocessing, feature extraction, and post-processing tools to facilitate research and development in speech recognition and speaker verification.

Contribution

It provides a comprehensive, easy-to-use toolkit for speech feature extraction, including MFCCs and filterbank energies, tailored for speech recognition applications.

Findings

Includes popular speech features like MFCCs and filterbank energies.

Simplifies speech processing workflows for researchers.

Supports applications in ASR and speaker verification.

Abstract

SpeechPy is an open source Python package that contains speech preprocessing techniques, speech features, and important post-processing operations. It provides most frequent used speech features including MFCCs and filterbank energies alongside with the log-energy of filter-banks. The aim of the package is to provide researchers with a simple tool for speech feature extraction and processing purposes in applications such as Automatic Speech Recognition and Speaker Verification.