SpeechPy - A Library for Speech Processing and Recognition
This is an incremental tool for researchers working on applications such as Automatic Speech Recognition and Speaker Verification.
The authors introduced SpeechPy, an open-source Python library for speech processing and recognition, providing common speech features like MFCCs and filterbank energies to simplify feature extraction for researchers.
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.