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Uberi/speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline. observed · 2026-08-28

github.com/Uberi/speech_recognition · homepage · Python · BSD-3-Clause (permissive) observed · 2026-08-28

Health v2 · maintenance only

94/100

  • Activity 95
  • Release rhythm 89
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 20
  • age_days: 4515
  • days_rel: 77
  • days_push: 33
  • n_releases_24m: 16

Full methodology

Adoption not part of the score

8987 stars · 2416 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Python library for performing speech recognition with support for multiple engines and APIs, both online (Google, Azure, Wit.ai, OpenAI Whisper API) and offline (CMU Sphinx, Vosk, Whisper). It provides a unified interface for capturing audio from microphones or files and transcribing it.

Use cases

  • transcribe audio files to text in python
  • convert microphone speech to text
  • offline speech recognition without cloud APIs
  • add voice commands to a python app
  • transcribe recordings using whisper
  • build a voice assistant that listens to the mic

When to choose

  • you need a single unified API across many speech recognition engines
  • you want to switch between cloud and offline transcription easily
  • you're prototyping voice input in Python

When to avoid

  • you need speaker diarization or meeting-level transcription features
  • you need streaming real-time ASR at scale in production
  • you work outside Python

Facets

library · maturity active

speech-recognition audio-processing nlp speech-processing python cross-platform speech-to-text transcription microphone whisper vosk cmu-sphinx offline-speech-recognition natural-language-processing audio

2 sources

Member repositories

RepositoryRoleHealth v2
Uberi/speech_recognitionmain94

For agents

markdown · JSON · MCP: product_card(name="Uberi/speech_recognition")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem