# kaldi-asr/kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

Repository: https://github.com/kaldi-asr/kaldi
Canonical: https://ross.abutalabs.com/products/kaldi
Homepage: http://kaldi-asr.org
Language: Shell
License: NOASSERTION
License Family: other
Topics: kaldi, c-plus-plus, cuda, shell, speech-recognition, speech-to-text, speaker-verification, speaker-id, speech
Last push: 2025-09-22T07:06:00+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 43, release rhythm 35, longevity 100
- inputs: {"age_days": 4153, "days_push": 345, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 15469, forks 5354 (observed 2026-08-28T04:11:09.905492+00:00)

## What it is
Kaldi is a C++ toolkit for speech recognition research and development, including acoustic modeling, feature extraction, decoding, and speaker identification. It ships with example recipe scripts and supports GPU (CUDA) acceleration for training neural network models.

## Use cases
- build a speech-to-text system
- train acoustic models for ASR
- speaker identification and verification
- transcribe audio recordings offline
- research HMM and DNN speech recognition
- keyword spotting in audio

## When to choose
- you need a mature, research-grade ASR toolkit with full training pipelines
- you want fine-grained control over acoustic modeling and decoding
- you need speaker recognition in addition to transcription
- you can work with C++ and shell scripts on Linux/Unix

## When to avoid
- you want a simple pretrained model API with minimal setup (consider Vosk or Whisper)
- you need Python-first tooling or quick prototyping
- you are building mobile or browser-based real-time transcription
- you cannot maintain shell-script-based recipe workflows

## Facets
- artifact type: library
- maturity: maintenance
- function: speech-recognition, machine-learning, deep-learning, audio-processing, gpu-computing
- domain: speech-processing, machine-learning
- platform: windows, cpp
- tags: asr, speech-to-text, speaker-id, kaldi, research-toolkit, c-plus-plus, natural-language-processing, audio, linux, macos, cuda, gpu

## Member repositories
- kaldi-asr/kaldi (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:09.905492+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:05:50.381756+00:00, confidence not recorded.
  - readme: https://github.com/kaldi-asr/kaldi (fetched 2026-08-28T04:11:09.905492+00:00, sha 5b68f5ad4385)
  - homepage: http://kaldi-asr.org (fetched 2026-08-29T08:03:55.388880+00:00, sha 8188710666dd)
  - site_page: http://kaldi-asr.org/doc (fetched 2026-08-29T08:03:55.412351+00:00, sha 945d93e80408)
- Data as of 2026-08-30T08:39:29.467469+00:00.