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Facebook AI Research Automatic Speech Recognition Toolkit
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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.
wav2letter++ is a tool in the Speech Recognition Tools category of a tech stack.
wav2letter++ is an open source tool with GitHub stars and GitHub forks. Here’s a link to wav2letter++'s open source repository on GitHub

Who uses wav2letter++?

4 developers on StackShare have stated that they use wav2letter++.

wav2letter++ Integrations

Pros of wav2letter++
Open Source

wav2letter++ Alternatives & Comparisons

What are some alternatives to wav2letter++?
It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.
Botium Speech Processing
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
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.
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.
See all alternatives

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