Score trend analysis for reduced latency automatic speech recognition

US10657952B2 · kind B2 · utility

Assignee

• Intel IP Corporation · US

Inventors

• Joachim Hofer · Munich, DE
• Georg Stemmer · Munich, DE
• Josef Bauer · Munich, DE
• Munir Nikolai Alexander Georges · Kehl, DE

Key dates

• Filing date: Feb 9, 2018
• Grant date: May 19, 2020
• Expiry date: Sep 1, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G10L2015/223
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Techniques are provided for reducing the latency of automatic speech recognition using hypothesis score trend analysis. A methodology implementing the techniques according to an embodiment includes generating complete-phrase hypotheses and partial-phrase hypotheses, along with associated likelihood scores, based on a segment of speech. The method also includes selecting the complete-phrase hypothesis associated with the highest of the complete-phrase hypotheses likelihood scores, and selecting the partial-phrase hypothesis associated with the highest of the partial-phrase hypotheses likelihood scores. The method further includes calculating a relative likelihood score based on a ratio of the likelihood score associated with the selected complete-phrase hypothesis to the likelihood score associated with the selected partial-phrase hypothesis. The method further includes calculating a trend of the relative likelihood score as a function of time and identifying an endpoint of the speech based on a determination that the trend does not decrease over a selected time period.