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| 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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