Speech recognition

readme: Whisper is a general-purpose speech recognition model.

readme: dictate into any text field with a global hotkey

readme: VibeVoice-ASR is a unified speech-to-text model designed to handle 60-minute long-form audio in a single pass

readme: High-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model:

description: A free, open source, and extensible speech-to-text application that works completely offline.

readme: It captures your meetings, transcribes them in real-time, and generates summaries with a local model by default.

description: DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine

readme: llamafile also includes **whisperfile**, a single-file speech-to-text tool built on whisper.cpp and the same Cosmopolitan packaging.

description: Faster Whisper transcription with CTranslate2

readme: This repository provides fast automatic speech recognition (70x realtime with large-v2) with word-level timestamps and speaker diarization.

readme: Turn MemoTalk S1 voice-recorder MP3s into searchable, categorized text you can review.

readme: watch captions stream from a local ASR model, and finish with structured minutes plus **DOCX/PDF**

readme: It continuously receives incoming audio and translates as the speaker talks, producing both translated text and speech.

readme: transcribes a recording with who said what

readme: turn recordings into text with the speakers

description: Offline real‑time Language transcription, floating live subtitles.

description: Evidence-aware Japanese speech visualization: pitch and intonation, waveform inspection, and experimental alignment.

description: Whistle speech-to-text running fully on an ESP32-S3: hold a button, say a colour in one of 7 languages, the LED does it.

description: transcribes real-time and locally on your computer, writes the minutes

readme: Nola Translator turns speech into real-time captions and translations.