OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
Audio & Voice AI

Wav2Letter

Wav2letter is a C++ automatic speech-recognition toolkit providing model-training and evaluation recipes, data-preparation resources, and pretrained models for end-to-end speech recognition.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Wav2Letter — OpenViST project profile in Audio & Voice AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the repository for its ASR recipes and research resources; for new development, follow the project’s stated move to Flashlight’s ASR application.

Who it is for

  • Researchers reproducing the speech-recognition experiments listed in the repository.
  • Developers building or adapting end-to-end speech-to-text models.

Documented uses

  • Train and evaluate end-to-end speech-recognition models using the provided recipes.
  • Prepare data for model training and evaluation using repository resources.
  • Use pretrained models and recipes as a basis for speech-to-text application work.
Before you choose

Requirements & limits

  • The project identifies Flashlight’s ASR application as the location for future development.
  • Building the documented recipes requires Flashlight’s 0.3 branch and ASR application.
  • Exact reproduction of listed results requires Flashlight 0.3.2 or earlier.
  • The repository describes toolkit and recipe resources, not a hosted transcription interface.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Build the wav2letter recipes

Set up the documented Flashlight ASR prerequisite and build the wav2letter recipes.

Before you start

  • Flashlight installed from its 0.3 branch with the ASR application.
  • For nonstandard Flashlight or ArrayFire install paths, the relevant CMake package directories.

Steps

  1. Install Flashlight from the 0.3 branch with the ASR application.

  2. Create and enter a build directory with mkdir build && cd build.

  3. Run cmake .. && make -j8.

  4. If Flashlight or ArrayFire is installed in a nonstandard path, pass the documented -Dflashlight_DIR=[PREFIX]/usr/share/flashlight/cmake/ and -DArrayFire_DIR=[PREFIX]/usr/share/ArrayFire/cmake options when running CMake.

Expected outcome

The documented recipe build commands have been run after installing the required Flashlight version and ASR application.

Guide limitations

  • The instructions describe building the recipes, not running a training or evaluation job.
  • Exact reproduction of listed research results requires Flashlight <= 0.3.2.
  • The repository states future wav2letter development has moved to Flashlight's ASR application.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
flashlight/wav2letter · Official homepage title · retained in its source language
How we review sourcesSuggest a correction

Related options

Flashlight ASR application — The repository identifies this as the consolidation destination for wav2letter and the location for future development.