What is SpeechPy?
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.
SpeechPy is a tool in the Speech Recognition Tools category of a tech stack.
SpeechPy is an open source tool with 806 GitHub stars and 108 GitHub forks. Here’s a link to SpeechPy's open source repository on GitHub
Why developers like SpeechPy?
Here’s a list of reasons why companies and developers use SpeechPy
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- Mel Frequency Cepstral Coefficients(MFCCs)
- Filterbank Energies
- Log Filterbank Energies
SpeechPy Alternatives & Comparisons
What are some alternatives to SpeechPy?
Botium Speech Processing
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
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.