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Voice Memory for Agentic Speech Recognition

9 upvotes · 29 JUL 2026 · Chao-Han Huck Yang, Zih-Ching Chen, Piotr Zelasko et al.

This paper introduces a new approach to agentic speech recognition that uses a memory to help correct mistakes and improve accuracy. By limiting the corrections made, the system can avoid over-correcting and improve performance on challenging tasks.

agentic speech recognitioncontinual learningmemory-augmented modelsscore-gated optimizationerror correctionnatural language processing