mlx-audio-swift and speech-swift
These are complementary tools where the audio processing SDK provides lower-level signal handling and MLX integration that the speech toolkit builds upon for higher-level ASR, TTS, and diarization tasks.
About mlx-audio-swift
Blaizzy/mlx-audio-swift
A modular Swift SDK for audio processing with MLX on Apple Silicon
This is a tool for Apple developers creating macOS and iOS apps that need to process audio. It helps integrate advanced audio features like converting text to speech, transcribing speech to text, identifying who is speaking, and more directly into your applications. You provide text or audio input, and it outputs synthesized speech, transcribed text, or speaker identification data. This is for Swift app developers building powerful audio-centric experiences.
About speech-swift
soniqo/speech-swift
AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
This project offers a collection of AI speech models that run directly on your Apple Mac or iOS device, without needing internet access. It helps turn spoken words into text, generate natural-sounding speech from text, and analyze audio for who spoke when or to remove background noise. This is ideal for app developers building privacy-focused audio features for Apple users.
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