Speech & Audio on Apple Silicon
14 repos
Libraries and applications for speech recognition, text-to-speech, and audio processing optimized for Apple Silicon using the MLX framework. Python dominates the cluster for model implementations and audio processing, while Swift appears in client applications leveraging these capabilities natively on macOS and iOS. This represents the emerging ecosystem of on-device speech and audio AI, with particular focus on efficient inference and multimodal integration.
Python · 7
Swift · 3
Rust · 1
TypeScript · 1
apple-silicon ·10,238
mlx ·10,238
speech-recognition ·9,919
text-to-speech ·9,919
multimodal ·9,919
speech-to-text ·7,983
audio-processing ·7,899
speech-synthesis ·7,866
transformers ·7,866
on-device-ai ·2,221
