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Audio & Voice AI

Kaldi

Kaldi is a speech recognition toolkit developers build and use to create speech-processing systems, including transcription, speaker identification and speaker verification applications.

Independent OpenViST project profile, based on linked sources.

Kaldi — 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 Kaldi when you need a toolkit and repository-based build materials for creating a speech-processing system, and can work through platform-specific installation and example-build instructions.

Who it is for

  • Developers building speech-to-text systems.
  • Teams creating speaker identification or speaker verification applications.
  • C++ developers learning or extending a speech-recognition toolkit.

Documented uses

  • Build a speech-to-text transcription system.
  • Create a speaker identification application.
  • Develop a speaker verification system.
  • Study the toolkit's techniques and C++ code through its documentation.
Before you choose

Requirements & limits

  • Toolkit setup and example system builds are described as separate steps in the README.
  • UNIX-like and Windows installation instructions are provided in different locations.
  • Android and WebAssembly use cross-compilation paths with named toolchain dependencies.
  • The project provides C++ learning and reference material for developers working directly with the code.

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 Kaldi toolkit

Follow the repository's documented setup path for the toolkit.

Before you start

  • A UNIX system such as Linux or Darwin, or Windows using the separate Windows installation instructions.

Steps

  1. Open the repository's ./INSTALL instructions for UNIX systems.

  2. For Windows outside Cygwin, follow windows/INSTALL instead.

Expected outcome

A platform-specific path for building the toolkit.

Guide limitations

  • The README says the UNIX instructions cover Cygwin but note that more exotic UNIX variants have not been tested.
  • These setup instructions do not by themselves describe building or running a particular speech application.
Source-based practical guide

Find an example system build

Locate Kaldi's documented example-system build instructions after toolkit setup.

Before you start

  • Access to the Kaldi repository.

Steps

  1. Open egs/README.txt in the repository.

  2. Use its example-system build instructions as the next stage after consulting the toolkit installation guidance.

Expected outcome

A repository reference for example system builds.

Guide limitations

  • The README points to the instructions but does not describe a specific example's full procedure or result.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
kaldi-asr/kaldi · Official homepage title · retained in its source language