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文章基本信息

  • 标题:Extended Average Magnitude DifferenceFunction Based Pitch Detection
  • 本地全文:下载
  • 作者:Ghulam Muhammad
  • 期刊名称:The International Arab Journal of Information Technology
  • 印刷版ISSN:1683-3198
  • 出版年度:2011
  • 卷号:8
  • 期号:2
  • 出版社:Zarqa Private University
  • 摘要:This paper presents a new extended average magnitude difference function for noise robust pitch detection. Average magnitude difference function based algorithms are suitable for real time operations, but suffer from incorrect pitch detection in noisy conditions. The proposed new extended average magnitude difference function involves in sufficient number of averaging for all lag values compared to the original average magnitude difference function, and thereby eliminates the falling tendency of the average magnitude difference function without emphasizing pitch harmonics at higher lags, which is a severe limitation of other existing improvements of the average magnitude difference function. A noise robust post processing that explores the contribution of each frequency channel is also presented. Experimental results on Keele pitch database in different noise level, both with white and color noise, shows the superiority of the proposed extended average magnitude difference function based pitch detection method over other methods based on average magnitude difference function
  • 关键词:Pitch detection; AMDF; EAMDF; and noise robust.
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