Acoustic feature based Musical Instrument Hierarchy and Its Application to Category level Musical Instrument Recognition

نویسنده

  • Tetsuro Kitahara
چکیده

This paper describes category level recognition of unknown musical instruments i e musical instruments which are not contained in training data based on an acoustic feature based musical instrument hierarchy The problem of how the unknown musical instruments should be dealt with is essential in musical instrument recognition However this problem has not been dealt with in previous studies In this study we propose category level recognition of the unknown musical instruments First we present a method for au tomatic acquisition of musical instrument hierarchy and then using this hierarchy we conduct experiments on recognizing the unknown musical instruments at category level In addition by introducing a process determining whether musical instruments are known or unknown i e whether the musical instruments are contained in training data or not we realize exible musical recognition that is individual instrument level recognition for known musical instruments and category level recognition for unknown musical instruments Experimental results showed that around of unknown musical instrument sounds in average were correctly recognized at category level

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تاریخ انتشار 2003