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Voice Memory for Agentic Speech Recognition

First seen · 7/30/2026, 12:00 PMLatest activity · 7/30/2026, 12:00 PM

Voice Memory is an inference-only scheme in which a frozen speech corrector reads one auditable memory.md per domain and decides, utterance by utterance, whether to correct an ASR hypothesis or retain the 1-best output. An asynchronous optimizer makes bounded memory edits and accepts only those that strictly improve a held-out score. The authors report that, across ten HyPoradise domains, weighted word error rate falls from 8.36% to 7.52%, or 7.47% with three additional in-context examples, without any dataset dropping below its 1-best baseline.

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  1. AggregatorHuggingFace Daily Papers7/30, 12:00 PMnot independentRepresentative
    Voice Memory for Agentic Speech Recognition