pocketsphinx
Speech Recognizer
An open source speech recognition system using continuous audio input and a large vocabulary
A small speech recognizer
4k stars
159 watching
720 forks
Language: C
last commit: almost 2 years agoLinked from 3 awesome lists
cpythonspeech-recognition
uhub/awesome-c
caerind/awesomecppgamedev
richardlitt/low-resource-languagesRelated projects:
| Repository | Description | Stars |
|---|---|---|
| cmusphinx/pocketsphinx-wp-demo | Demonstrates real-time speech recognition on the Windows Phone 8 platform | 21 |
| cmusphinx/pocketsphinx-android | A wrapper around Pocketsphinx for Android providing a high-level interface for speech recognition. | 235 |
| cmusphinx/node-pocketsphinx | Provides a Node.js interface to use speech recognition capabilities of PocketSphinx. | 243 |
| cmusphinx/pocketsphinx-ruby | Provides Ruby FFI bindings for a lightweight speech recognition engine | 13 |
| cmusphinx/pocketsphinx-android-demo | An Android demo that utilizes Pocketsphinx for speech recognition | 549 |
| cmusphinx/tlsphinx | A Swift wrapper around Pocketsphinx, allowing speech recognition on device without audio leaving it | 15 |
| cmusphinx/pocketsphinx-ios-demo | Build script for CMUSphinx libraries on iOS | 75 |
 syl22-00/pocketsphinx.js | A JavaScript speech recognition library built on top of the PocketSphinx C codebase, utilizing WebAssembly and web audio APIs. | 1,493 |
 watsonbox/pocketsphinx-ruby | Provides Ruby bindings for Pocketsphinx speech recognition engine | 258 |
| cmusphinx/sphinx4 | A Java speech recognition system providing tools and frameworks for continuous audio input processing. | 1,411 |
 rhasspy/piper | A fast local neural text-to-speech system optimized for small devices | 7,002 |
| cmusphinx/sphinxtrain | Tools and scripts for training acoustic models in speech recognition systems | 183 |
 ggerganov/whisper.cpp | A high-performance inference implementation of an automatic speech recognition model in C++ | 36,332 |
 openai/whisper | A general-purpose speech recognition system trained on large-scale weak supervision | 72,752 |
 jazzband/pip-tools | Maintains predictable and deterministic builds of Python applications by managing dependencies. | 7,783 |