| Paper: | AE-P5.4 | ||
| Session: | Applications to Music II | ||
| Time: | Friday, May 21, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Applications to Music | ||
| Title: | MUSICAL NOTE SEGMENTATION EMPLOYING COMBINED TIME AND FREQUENCY ANALYSES | ||
| Authors: | Gordana Velikic; University of Rochester | ||
| Edward Titlebaum; University of Rochester | |||
| Mark Bocko; University of Rochester | |||
| Abstract: | In this paper we describe a musical stream note segmentation method that employs time-domain and frequency-domain analysis methods working in conjunction. The method has two demonstrated benefits: first, it leads to reliable results with very low probability of either missing or of falsely detecting notes, and second, it has temporal resolution on the order of 1 msec. We have applied the method to a variety of monophonic musical instrument recordings, including the clarinet, piano and violin, with results that vary from 95% to 100% accuracy. | ||
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