Speech recognition apparatus, feature quantity conversion matrix generation apparatus, speech recognition method, feature quantity conversion matrix generation method, and program

摘要

PROBLEM TO BE SOLVED: To improve sound recognition accuracy.SOLUTION: A feature quantity conversion matrix storage part 16 stores a feature quantity conversion matrix learned by using a sound signal labelled with two or more sound variation factors containing at least an utterance style. A feature quantity analysis part 14 generates an input sound feature quantity by extracting a sound feature quantity on the basis of the input sound signal. A feature quantity conversion matrix selection part 20 selects a proper feature quantity conversion matrix with respect to the input sound feature quantity from the feature quantity conversion matrix for each sound variation factor. A feature quantity conversion part 21 generates a converted sound feature quantity by applying the selected feature quantity conversion matrix with respect to the input sound feature quantity in multi-stages. A recognition processing part 22 outputs a recognition result obtained by performing sound recognition on the converted sound feature quantity.