Detecting potential significant errors in speech recognition results

摘要

In some embodiments, the recognition results produced by a speech processing system (which may include a top recognition result and one or more alternative recognition results) based on an analysis of a speech input, are evaluated for indications of potential significant errors. In some embodiments, the recognition results may be evaluated to determine whether a meaning of any of the alternative recognition results differs from a meaning of the top recognition result in a manner that is significant for the domain. In some embodiments, one or more of the recognition results may be evaluated to determine whether the result(s) include one or more words or phrases that, when included in a result, would change a meaning of the result in a manner that would be significant for the domain.

主权项

1. A method of processing results of a recognition by an automatic speech recognition (ASR) system on a speech input, the results comprising a first recognition result identified by the ASR system as most likely to be a correct recognition result for the speech input, the results further comprising at least one alternative recognition result identified by the ASR system, the method comprising:
determining whether a meaning of the first recognition result differs in a medically significant way from a meaning of the at least one alternative recognition result; and in response to determining that that the meaning of the first recognition result differs in a medically significant way from the meaning of the at least one alternative recognition result, triggering an alert.