https://www.solosoft.dev/tags/mlx-audio/Recent content in MLX-Audio on SoloSoftHugoen-ushttps://www.solosoft.dev/post/mlx-audio-apple-silicon-2026/Mon, 01 Jan 0001 00:00:00 +0000https://www.solosoft.dev/post/mlx-audio-apple-silicon-2026/<p>Apple Silicon Macs equipped with M-series chips &ndash; from the M1 through the latest M4 Ultra &ndash; pack extraordinary computational power, particularly for machine learning workloads. Their unified memory architecture allows models to access large amounts of fast memory without the bottlenecks of traditional CPU-GPU data transfer. <strong>MLX-Audio</strong>, an open-source Python library built on Apple&rsquo;s MLX framework, is purpose-built to exploit this hardware advantage for all things audio AI.</p> <p>MLX-Audio provides a unified interface for text-to-speech, speech-to-text, and speech-to-speech conversion, supporting dozens of models from OpenAI&rsquo;s Whisper (for transcription) to Kokoro and VoiceCraft (for synthesis). It brings together capabilities that are typically scattered across multiple libraries and frameworks, all optimized to run efficiently on Mac hardware.</p>