Speech recognition adjustment method and device

Abstract

The invention discloses a speech recognition adjustment method and device. The method includes: step 101, receiving a first speech from a user; step 102, determining at least one candidate recognition result based on the first speech, and determining at least one candidate recognition result based on the first recognition The strategy selects a candidate recognition result from the at least one candidate recognition result to form a first speech recognition result; step 103, receiving a second speech from the user; step 104, responding to the second speech, based on the second recognition A strategy selects a candidate recognition result from other candidate recognition results in the at least one candidate recognition result to form a second speech recognition result; wherein the second recognition strategy is different from the first recognition strategy. Through the method of the present invention, more accurate speech recognition results can be provided, the correction process of speech recognition is accelerated, the error rate of speech recognition is reduced, and user experience is improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of voice interaction, and in particular, to a voice recognition adjustment method and device. Background technique [0002] In recent years, with the development of voice recognition technology, more and more users have begun to use voice to interact with mobile phones. However, due to the existence of many homophones or homophones, and the pronunciation of some words or words is very similar, the result of speech recognition is inaccurate. In addition, some users have inaccurate pronunciation in speech recognition, which leads to inaccurate speech recognition results. In view of the above situation, the result of speech recognition can be adjusted. For example, when the first recognition is performed, the recognition result ranked first in the recognition result is provided to the user, and in response to the user's repeated voice instruction, other recognition results in the above recognition ...

AI Technical Summary

Problems solved by technology

[0003] However, in the above speech recognition adjustment process, a fixed speech recognition strategy is adopted, that is, no matter whether it is the first recognition or subsequent recognition, the ranking of the recognition results will not change, resulting in a poor adjustment effect of the speech recognition results. Seriously affected the user experience

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