Whisper Speech Recognition & Deployment
25 repos
Speech-to-text systems built around OpenAI's Whisper model, with a focus on efficient inference, cross-platform deployment, and real-time transcription. The cluster spans multiple implementation languages—Python for data processing and service layers, Rust and Swift for performance-critical and native platform implementations—reflecting the breadth of use cases from backend services to desktop and mobile applications. Repositories range from Whisper bindings and C++ optimizations (whisper-cpp) to end-user tools like real-time transcription HUDs and conversation recording utilities.
Swift · 8
Rust · 7
Python · 6
TypeScript · 2
C# · 1
speech-to-text ·50,720
whisper ·50,322
rust ·35,144
whisper-cpp ·32,831
transcription ·32,472
parakeet ·31,830
ai ·31,807
windows ·30,887
llm ·30,722
local-ai ·30,651
