Google adds on-device voice chat with Gemma to AI Edge Gallery
Overview
Google says AI Edge Gallery's AI Chat now lets users speak to Gemma models, with dictation streamed into the prompt box and responses read aloud with sentence highlighting.
Google's Gemma account on X says the speech pipeline runs offline on the device.
Google Developers Blog adds that the on-device speech recognition comes from ML Kit and covers 100+ languages at 10x real-time speed, and that text-to-speech starts speaking in about 100 ms. The blog says the feature pairs with small models such as Gemini Nano and Gemma 4, and that open-weight speech bundles for MediaPipe Tasks and LiteRT plus open-source reference code are available. The blog says users can try the voice features by downloading the latest AI Edge Gallery app on Android or iOS.
Written by AI from the articles below · updated Nov 10, 1:05 PM ET
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Developments
2 developments
- Nov 10, 12:30 PM ET · 1 articleGoogle adds offline voice interaction to AI Edge Gallery chatGoogle Gemma: Google adds offline voice chat with Gemma to AI Edge Gallery
- Nov 9, 7:00 PM ET · 1 articleGoogle adds on-device speech recognition and text-to-speech to AI Edge GalleryGoogle Developers Blog: Google adds on-device speech recognition and text-to-speech to AI Edge Gallery
Article timeline
The articles in this story. Times are ET.
Google Gemma@googlegemmaOfficialGoogle adds offline voice chat with Gemma to AI Edge GalleryAIGoogle says AI Edge Gallery's main AI Chat now lets users talk directly with Gemma models. The new on-device speech recognition and text-to-speech pipeline streams live voice dictation into the prompt box and reads responses aloud with real-time sentence highlighting, running offline on the device.

- Google Developers BlogOfficialPickGoogle adds on-device speech recognition and text-to-speech to AI Edge Gallery
AIGoogle introduces on-device automatic speech recognition and text-to-speech in Google AI Edge Gallery, running offline with paired small language models such as Gemini Nano and Gemma 4. Google says ML Kit's ASR covers 100+ languages at 10x real-time speed, and its TTS begins speaking in about 100 ms. Open-weight speech bundles for MediaPipe Tasks and LiteRT, plus open-source reference code, are also available.
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