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Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing

5 upvotes · 21 JUL 2026 · Laurin Wagner, Mario Zusag, Bernhard Thallinger

This paper improves the accuracy of Automatic Speech Recognition (ASR) models by controlling the style of the transcription, allowing for more reliable word-level timing and disfluency detection. Practitioners can benefit from this work to improve the quality of ASR systems in real-world applications.

ASRtranscription stylelatent variablesword-level timingdisfluency detectioncross-attention