A novel recurrent network based pitch detection technique for quasi-periodic/pitch-varying signals

Wei Chen Chang, Wen-Yu Su

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Accuracy of pitch detection algorithms affects the performance of many speech and audio applications such as speech compression, computer music analysis/synthesis and information retrieval of audio signals. In many applications, it is also desired that the algorithms should be robust to background noise. A recurrent network based method is proposed in this paper. Though the proposed method requires more computation compared to some existing methods, it is more accurate and less sensitive to noise. The other advantage is that it requires a smaller time frame to estimate the pitch compared to other methods. Therefore, it is more suitable for tracking the pitch of a pitch-varying signal or a quasi-periodic signal. Synthesized tones and natural tones are used in the computer simulation.

Original languageEnglish
Pages816-821
Number of pages6
Publication statusPublished - 2002 Jan 1
Event2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
Duration: 2002 May 122002 May 17

Other

Other2002 International Joint Conference on Neural Networks (IJCNN '02)
CountryUnited States
CityHonolulu, HI
Period02-05-1202-05-17

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All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

Cite this

Chang, W. C., & Su, W-Y. (2002). A novel recurrent network based pitch detection technique for quasi-periodic/pitch-varying signals. 816-821. Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States.