Recognizer weight learning apparatus, speech recognition apparatus, and system

Abstract

A speech recognition apparatus (110) selects an optimum recognition result from recognition results output from a set of speech recognizers (s1-sM) based on a majority decision. This decision is implemented with taking into account weight values, as to the set of the speech recognizers, learned by a learning apparatus (100). The learning apparatus includes a unit (103) selecting speech recognizers corresponding to characteristics of speech for learning (101), a unit (104) finding recognition results of the speech for learning by using the selected speech recognizers, a unit (105) unifying the recognition results and generating a word string network, and a unit (106) finding weight values concerning a set of the speech recognizers by implementing learning processing. When finding weight values, the learning apparatus selects a word from each arc set in the word string network based on a majority decision which is taken into account candidates of weight value, and outputs weight value candidates which minimize a recognition error rate of a word string formed of the selected words, as a learning result.

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