AI Agent Skills

A modular Swift SDK for audio processing with MLX on Apple Silicon

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

The Swift machine learning library.

Fast and simple OCR library written in Swift

AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML

Data manipulation and transformation for audio signal processing, powered by PyTorch

A library for audio and music analysis, feature extraction.

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

On-device Speech AI for Apple Silicon

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

A ComfyUI custom node integration for local multi-engine multi-language Text-to-Speech and Voice Conversion. Supports: RVC, Echo-TTS, Qwen3-TTS, Cozy Voice 3, Step Audio…

The hub for audio AI research: papers, open models, benchmarks & datasets across audio LLMs, speech recognition, TTS, music & audio generation.

A tool to enforce Swift style and conventions.

Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.