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LibreASR

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SpeechPy

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What is LibreASR?

It is an On-Premises, Streaming Speech Recognition System built with PyTorch and fastai.

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.

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What tools integrate with LibreASR?
What tools integrate with SpeechPy?
    No integrations found
    What are some alternatives to LibreASR and SpeechPy?
    Kaldi
    It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
    Botium Speech Processing
    It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
    Speechly
    It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.
    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.
    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.
    See all alternatives