Combination of 3 Types of Speech Recognizers for Anaphora Resolution

In this paper, we propose a method for anaphora resolution in speech understanding for a livelihood support robot. For robust speech recognition, we combine two types of speech recognizers; a large vocabulary continuous speech recognizer (LVCSR) and domain-specific speech recognizers (DSSR). One problem in the anaphora resolution is lack of the antecedent in the outputs. To solve the problem, we introduce 2 types of DSSRs; one medium-scale DSSR and several small DSSRs. In this paper, we describe the basic idea of our multiple speech recognizer first. The selection process in the recognizer is based on the similarity between the LVCSR and each DSSR. Then, by using the outputs from the LVCSR and the medium-scale DSSR, we resolve anaphoric expressions in the current output from a small-scale DSSR. The experimental result shows the effectiveness of our method.