alphacep/vosk-android-demo
Offline speech recognition for Android with Vosk library. observed · 2026-08-28
Health v2 · maintenance only
48/100
- Activity 56
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2556
- days_rel: n/a
- days_push: 268
- n_releases_24m: 0
Adoption not part of the score
1055 stars · 276 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A demo Android application showing offline speech recognition and speaker identification using the Vosk and Kaldi libraries. It serves as a reference implementation for integrating Vosk's on-device ASR into mobile apps.
Use cases
- run speech recognition offline on an android device
- transcribe microphone audio without internet on mobile
- add voice dictation to an android app
- identify speakers on-device
- try vosk speech recognition on android before integrating
When to choose
- you need fully offline speech recognition on Android
- you want a working Java example of Vosk integration on mobile
- privacy rules forbid sending audio to cloud services
When to avoid
- you need a production-ready app rather than a demo
- you target iOS or desktop platforms
- you need cloud-scale accuracy with large vocabulary models
Facets
application · maturity active
speech-recognition speech-processing mobile-development vosk kaldi offline-asr demo-app speaker-identification android
1 source
- readme: https://github.com/alphacep/vosk-android-demo · fetched 2026-08-28 · 67da0c2bc123
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| alphacep/vosk-android-demo | main | 48 |
For agents
markdown · JSON · MCP: product_card(name="alphacep/vosk-android-demo")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem