| Paper: | AE-P4.1 | ||
| Session: | Applications to Music I | ||
| Time: | Thursday, May 20, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Applications to Music | ||
| Title: | INSTRUMENT RECOGNITION IN ACCOMPANIED SONATAS AND CONCERTOS | ||
| Authors: | Jana Eggink; University of Sheffield | ||
| Guy J. Brown; University of Sheffield | |||
| Abstract: | A system for musical instrument recognition is introduced. In contrast to most existing systems, it can identify a solo instrument even in the presence of an accompanying keyboard instrument or orchestra. To enable recognition in the presence of a highly polyphonic background, we use features based solely on the partials of the target tone. The approach is based on the assumption that it is possible to extract the most prominent fundamental frequency and the corresponding harmonic overtone series, and that these will most often belong to the solo instrument. Classification is carried out using a Gaussian classifier trained on examples of monophonic music. Testing our system on accompanied sonatas and concertos we achieved a recognition rate of 86% for 5 different instruments, an accuracy comparable to that of systems limited to monophonic music only. | ||
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