https://github.com/hwpoison/vosk-voice-recognition-c
Offline voice recognition using pure C and vosk lib. (from file and from microphone, windows)
https://github.com/hwpoison/vosk-voice-recognition-c
c speech-recognition speech-to-text voice-recognition vosk vosk-api vosk-models wav windows winmm
Last synced: 2 months ago
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Offline voice recognition using pure C and vosk lib. (from file and from microphone, windows)
- Host: GitHub
- URL: https://github.com/hwpoison/vosk-voice-recognition-c
- Owner: hwpoison
- Created: 2022-04-22T04:28:22.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-04-08T01:00:34.000Z (6 months ago)
- Last Synced: 2025-06-23T00:38:24.231Z (4 months ago)
- Topics: c, speech-recognition, speech-to-text, voice-recognition, vosk, vosk-api, vosk-models, wav, windows, winmm
- Language: C
- Homepage:
- Size: 246 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### Vosk C Implementation 🎙️
-------------
This is a implementation in C using Vosk offline speech recognition lib for Windows
#### Requirements
- libvosk.dll and pthread dependences in windows. Download from https://github.com/alphacep/vosk-api/releases/tag/v0.3.427
- Get a voice model from https://alphacephei.com/vosk/models (https://alphacephei.com/vosk/models/vosk-model-small-es-0.3.zip for spanish lang)
#### How to use
You can run the Vosk_recognizer binary with next args
| Command argument| Description|
| ------------ | ------------ |
|`--mic` |To use the microphone|
|`--file .wav` |To read a .wav file|
|`--device-id ` |To use a determinated device id|
|`--list-devices`| To view all available audio I/O devices|
#### About supported audio format
Vosk by default expect a wav file with a sample rate of 16kHz (16000Hz) an a bitsample of 16bit PCM. So the mic needs also to be switched to 16khz/16bit.
https://alphacephei.com/vosk/install#:~:text=When%20using%20your%20own%20audio%20file%20make%20sure%20it%20has%20the%20correct%20format%20%2D%20PCM%2016khz%2016bit%20mono.%20Otherwise%2C%20if%20you%20have%20ffmpeg%20installed%2C%20you%20can%20use%20test_ffmpeg.py%2C%20which%20does%20the%20conversion%20for%20you.
#### How to build:
Put all the dependences under source code dir then run
`make all`