On-Device Speech Recognition and Text-to-Speech in Google AI Edge Gallery
On-Device Speech Recognition and Text-to-Speech in Google AI Edge Gallery
Google introduced on-device ASR and TTS in Google AI Edge Gallery, pairing lightweight speech models with on-device SLMs like Gemini Nano and Gemma 4 for fully offline voice interaction. ML Kit on Android offers multilingual transcription across 100+ languages at 10x real-time speed plus a few-step diffusion TTS that starts in ~100 ms, while MediaPipe Tasks and LiteRT bring cross-platform support for open-weight models including Parakeet-TDT 0.6B, PocketTTS 100M, Kokoro-82M, and Phonon 31M. The release powers the XR Language Teacher showcase and voice-enabled AI Chat, with open-source reference code on GitHub.
It documents concrete on-device speech model releases, latency and accuracy figures, and open-source code that developers can use to build offline voice pipelines.
Source: Google Developers Blog · developers.googleblog.com