SpeechPy vs wav2letter++: What are the differences?
Developers describe SpeechPy as "💬A Library for Speech Processing and Recognition". The purpose of this project is to provide a package for speech processing and feature extraction. This library provides most frequent used speech features including MFCCs and filterbank energies alongside with the log-energy of filterbanks. On the other hand, wav2letter++ is detailed as "Facebook AI Research Automatic Speech Recognition Toolkit". wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research. It is written entirely in C++ and uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency. Our approach is detailed in this arXiv paper.
SpeechPy and wav2letter++ can be primarily classified as "Speech Recognition" tools.
SpeechPy is an open source tool with 722 GitHub stars and 98 GitHub forks. Here's a link to SpeechPy's open source repository on GitHub.