Real-time speech recognition in far-field conversational settings remains error-prone, especially when the system must keep up with a stream of speech. A new arXiv preprint proposes a shift from silently guessing at uncertain words to actively asking the speaker for clarification.
The method works by identifying potential error spans as the speech is being recognized. When such a span is detected, the system can prompt the speaker to repeat just that portion, rather than the entire utterance. This targeted clarification is designed to be a lightweight recourse mechanism that fits within the constraints of streaming ASR.
The paper's abstract describes the motivation and mechanism but does not include experimental results in the available text. As a single preprint, it offers a conceptual contribution rather than a verified performance claim, and no comparison with other approaches is provided here.