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++?
Developers
4 developers on StackShare have stated that they use wav2letter++.
wav2letter++ Integrations
Pros of wav2letter++
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wav2letter++ Alternatives & Comparisons
What are some alternatives to wav2letter++?
Kaldi
It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
Whisper
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.
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.
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.