AnalysisAI ModelsOctober 13, 2026

EmbeddingGemma 2 repurposed into on-device speech-to-text

Read original source →eg2.haku.sh

A small trained reader maps EmbeddingGemma 2's audio slices into its text space, matching against ~229,000 English words to transcribe an hour of audio in about 13 seconds on a base MacBook Air. Word error rate is ~5% versus 2-3% for leading speech models; only the reader was trained, under two hours on 8xH100.

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