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SpeechPy

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wav2letter++

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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.

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    - No public GitHub repository available -

    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.

    What is 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.

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    What tools integrate with SpeechPy?
    What tools integrate with wav2letter++?
    What are some alternatives to SpeechPy and wav2letter++?
    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.
    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.
    LibreASR
    It is an On-Premises, Streaming Speech Recognition System built with PyTorch and fastai.
    See all alternatives