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Kaldi

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wav2letter++

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Kaldi vs wav2letter++: What are the differences?

What is Kaldi? Toolkit for speech recognition. It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.

What is wav2letter++? 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.

Kaldi and wav2letter++ can be categorized as "Speech Recognition" tools.

Kaldi and wav2letter++ are both open source tools. It seems that Kaldi with 9.38K GitHub stars and 4.17K forks on GitHub has more adoption than wav2letter++ with 5.33K GitHub stars and 904 GitHub forks.

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    What is Kaldi?

    It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.

    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 Kaldi?
      What tools integrate with wav2letter++?
        No integrations found
        What are some alternatives to Kaldi and wav2letter++?
        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.
        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