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 Voice & Audio Models category of a tech stack.
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It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
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 is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
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.
C++ are some of the popular tools that integrate with wav2letter++. Here's a list of all 1 tools that integrate with wav2letter++.