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Google AI Edge Gallery Adds On-Device ASR and TTS Capabilities

11/13/2026 — 11/13, 13:17·1 sources (all)·1 reports (all)

Key takeaways

  • Google has announced that its AI Edge Gallery now supports on-device offline automatic speech recognition and text-to-speech capabilities. D…

Background & analysis

On November 13, 2026 at 12:10, Google Developers Blog announced that Google AI Edge Gallery now supports on-device, offline Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) capabilities. The post describes the update as a way to build developer-friendly voice applications entirely on the device, without relying on cloud processing for the speech pipeline.

Developers can integrate the new functionality through ML Kit, MediaPipe Tasks, or LiteRT. ML Kit is presented as the option for performance-optimized Android work, while MediaPipe Tasks and LiteRT are meant for cross-platform integration of open-weight models. According to the announcement, this local pipeline pairs lightweight speech models with on-device small language models such as Gemini Nano and Gemma 4, enabling real-time streaming transcription and local speech synthesis. The framing is that voice is a natural way to interact with AI on phones and wearables, and that recent advances in compact speech architectures make it feasible to run the needed models directly on the device.

At this stage, the on-device ASR and TTS capabilities are available in Google AI Edge Gallery, and developers can start building voice applications around them. No further updates, expansions, or changes to the feature set have been announced yet, so the release currently stands as the latest word on what the tool offers.

AI-generated from 1 reports · updated 8 hours ago

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24-hour heatHeat index 78 · peak 98 · 7h ago
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Today
  1. Google has announced that AI Edge Gallery now supports on-device, offline Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). Developers can leverage ML Kit, MediaPipe Tasks, and LiteRT to combine compact speech models with on-device small language models like Gemini Nano and Gemma 4 for real-time offline voice apps.

    Google Developers BlogFirst-partyAI score 68

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