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

Wei Chen Chang, Wen-Yu Su

研究成果: Paper

4 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁面816-821
頁數6
出版狀態Published - 2002 一月 1
事件2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
持續時間: 2002 五月 122002 五月 17

Other

Other2002 International Joint Conference on Neural Networks (IJCNN '02)
國家United States
城市Honolulu, HI
期間02-05-1202-05-17

    指紋

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

引用此

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