SpeechPyWhat 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 Voice & Audio Models category of a tech stack.
Key Features
Mel Frequency Cepstral Coefficients(MFCCs)Filterbank EnergiesLog Filterbank Energies
SpeechPy Pros & Cons
Pros of SpeechPy
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Cons of SpeechPy
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SpeechPy Alternatives & Comparisons
What are some alternatives to SpeechPy?
Kaldi
It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
Deepspeech
It is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Botium Speech Processing
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
wav2letter++
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.
