发明授权
US08600760B2 Correcting substitution errors during automatic speech recognition by accepting a second best when first best is confusable 有权
在自动语音识别期间纠正替代错误,首次接受第二好的时候是可混淆的

Correcting substitution errors during automatic speech recognition by accepting a second best when first best is confusable
摘要:
A speech recognition method includes the steps of receiving input speech containing vocabulary, processing the input speech with a grammar to obtain N-best hypotheses and associated parameter values, and determining whether a first-best hypothesis of the N-best hypotheses is confusable with any vocabulary within the grammar. The first-best hypothesis is accepted as recognized speech corresponding to the received input speech if the first-best hypothesis is not determined to be confusable with any vocabulary within the grammar. Where the first-best hypothesis is determined to be confusable, at least one parameter value of the first-best hypothesis can be compared to at least one threshold value, and accepting the second-best as the recognized speech, if its confidence score is within certain lower and upper threshold values and is not confusable with the first-best. The first-best hypothesis can be accepted as recognized speech corresponding to the received input speech, if the parameter value of the first-best hypothesis is greater than the threshold value.
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