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The two compact models incorporate native audio handling—automated speech recognition and speech-to-translated-text, entirely on-device. The audio processor has been reduced to 305 million parameters, down from 681 million in Gemma 3n, while frame duration decreased from 160ms to 40ms for more immediate transcription. For teams creating voice-driven applications requiring local data processing—consider healthcare, field maintenance, or multilingual client engagement—operating speech recognition, translation, reasoning, and function calls within one model on mobile or edge hardware constitutes genuine architectural streamlining.
These are broadly useful to anyone self-hosting an AppView at scale.