Pitch detection/tracking strategy for musical recordings of solo bowed-string and wind instruments

Yi Song Siao, Wei Chen Chang, Alvin W.Y. Su

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A pitch detection/tracking strategy for solo bowed-string and wind musical instrumental recordings is presented. To avoid the missing fundamental problem, we adopted the greatest common divisor method and modified it with a weighted-and-voting technique that can reveal more information of strong partials in the target signal. Moreover, a frame-based correction method with consideration of the performing aspects of the instruments is also proposed to emendate possible misjudgments in the transition from one note to the next note. Experimental results showed that the proposed strategy is superior to three popular methods for a pitch extraction/tracking task. The proposed method was also tested when the sound source is reverberant and the results were compared with other methods, too.

Original languageEnglish
Pages (from-to)1239-1253
Number of pages15
JournalJournal of Information Science and Engineering
Volume25
Issue number4
Publication statusPublished - 2009 Jul 1

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics

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