Last Updated on July 13, 2021
wav2letter++ is a fast, open source speech processing toolkit from the Speech team at Facebook AI Research built to facilitate research in end-to-end models for speech recognition. It’s intended as a platform for rapid research in end-to-end speech recognition.
It follows a completely convolutional approach, and uses Convolutional Neural Networks (CNN) for acoustic modelling as well as language modelling.
wav2letter++ uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency. ArrayFire is a highly optimized tensor library that can execute on multiple backends including a CUDA GPU back-end and a CPU backend. ArrayFire also uses just-in-time code generation to combine series of simple operations into a single kernel call. This results in faster execution for memory bandwidth bound operations and can reduce peak memory use.
wav2letter has been moved and consolidated into Flashlight in the ASR application.
wav2letter++ is free and open source software.
Features include:
- Supports three main modes of training: train (flat-start training), continue (continuing with a checkpoint state), and fork (for e.g. transfer learning). The training pipeline scales seamlessly using data-parallel, synchronous stochastic-gradient-descent as well as inter process communications powered by NVIDIA Collective Communication Library. Training times scale linearly to 64 GPUs with 100 million parameters.
- Supports several end-to-end sequence models as well as a wide range of network architectures and activation functions.
- Supports feature extraction across different audio formats. The framework computes features on the fly prior to each network evaluation and enforces asynchrony and parallelization in order to maximize efficiency during the training of models.
- Training pipeline gives maximum flexibility for the user to experiment with different features, architectures and optimization parameters.
- Decoder is a beam-search decoder with several optimizations to improve efficiency.
- Written entirely in C++ which makes it efficient to train models and perform real-time decoding.
Website: github.com/facebookresearch/wav2letter/wiki
Support: Tutorials, GitHub Code Repository
Developer: Facebook, Inc. and its affiliates
License: BSD License
wav2letter++ is written in C++ and Python. Learn C++ with our recommended free books and free tutorials. Learn Python with our recommended free books and free tutorials.
Return to Speech Recognition Tools Home Page
Popular series | |
---|---|
The largest compilation of the best free and open source software in the universe. Each article is supplied with a legendary ratings chart helping you to make informed decisions. | |
Hundreds of in-depth reviews offering our unbiased and expert opinion on software. We offer helpful and impartial information. | |
Replace proprietary software with open source alternatives: Google, Microsoft, Apple, Adobe, IBM, Autodesk, Oracle, Atlassian, Corel, Cisco, Intuit, and SAS. | |
Awesome Free Linux Games Tools showcases a series of tools that making gaming on Linux a more pleasurable experience. This is a new series. | |
Machine Learning explores practical applications of machine learning and deep learning from a Linux perspective. We've written reviews of more than 40 self-hosted apps. All are free and open source. | |
New to Linux? Read our Linux for Starters series. We start right at the basics and teach you everything you need to know to get started with Linux. | |
Alternatives to popular CLI tools showcases essential tools that are modern replacements for core Linux utilities. | |
Essential Linux system tools focuses on small, indispensable utilities, useful for system administrators as well as regular users. | |
Linux utilities to maximise your productivity. Small, indispensable tools, useful for anyone running a Linux machine. | |
Surveys popular streaming services from a Linux perspective: Amazon Music Unlimited, Myuzi, Spotify, Deezer, Tidal. | |
Saving Money with Linux looks at how you can reduce your energy bills running Linux. | |
Home computers became commonplace in the 1980s. Emulate home computers including the Commodore 64, Amiga, Atari ST, ZX81, Amstrad CPC, and ZX Spectrum. | |
Now and Then examines how promising open source software fared over the years. It can be a bumpy ride. | |
Linux at Home looks at a range of home activities where Linux can play its part, making the most of our time at home, keeping active and engaged. | |
Linux Candy reveals the lighter side of Linux. Have some fun and escape from the daily drudgery. | |
Getting Started with Docker helps you master Docker, a set of platform as a service products that delivers software in packages called containers. | |
Best Free Android Apps. We showcase free Android apps that are definitely worth downloading. There's a strict eligibility criteria for inclusion in this series. | |
These best free books accelerate your learning of every programming language. Learn a new language today! | |
These free tutorials offer the perfect tonic to our free programming books series. | |
Linux Around The World showcases usergroups that are relevant to Linux enthusiasts. Great ways to meet up with fellow enthusiasts. | |
Stars and Stripes is an occasional series looking at the impact of Linux in the USA. |
How can i install this on Ubuntu linux 21.04
Did you read the build instructions?