Performance measurement of a novel pitch detection scheme based on weighted autocorrelation for speech signals

被引：0
作者：
Sandeep Kumar
机构：
[1] National Institute of Technology,Department of Electronics & Communication Engineering
来源：
International Journal of Speech Technology | 2019年 / 22卷
关键词：
Signal processing; Pitch detection; ACF; WACF;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A novel pitch detection scheme (PDS) based on weighted autocorrelation function (WACF) is proposed. The proposed scheme has been simulated and then integrated in an analysis-synthesis system for speech signal. The simulation and real-time performance comparison of this scheme with two other existing schemes [ACF and weighted ACF (WACF)] has been carried out. The performance comparison results show that the proposed PDS outperforms (in terms of speech quality and intelligibility) for both clean as well as noisy environment as compared to the other conventional PDS schemes considered for the comparison. Moreover, simulation and real-time implementation results show that the time taken for computation and memory consumption for the proposed PDS is less as compared to the weighted ACF based PDS.
引用
收藏
页码：885 / 892
页数：7
相关论文
共 27 条
  • [1] Fangming W(1991)Cepstral analysis using discrete trignomatric transform IEEE Transactions Acoustics, Speech, Signal Processing (ASSP) 39 538-541
  • [2] Yip P(2019)A signal period detection algorithm based on morphological self-complementtary top-hat transform and AMDF Information 10 1-12
  • [3] Han Z(2007)Subjective evaluation and comparison of speech enhancement algorithms Speech Communication 49 588-601
  • [4] Wang X(2006)Speech pitch determination based on Huang-Hilbert transform Signal Processing 86 792-803
  • [5] Hu Y(2018)Comparative performance evaluation of MMSE-based speech enhancement techniques through simulation and real-time implementation International Journal of Speech Technology, Springer. 21 1033-1044
  • [6] Loizou P(2013)Performance evaluation of a wavelet-based pitch detection scheme International Journal of Speech Technology, Springer. 16 431-437
  • [7] Huang H(2015)Performance evaluation of a ACF-AMDF based pitch detection in real-time International Journal of Speech Technology, Springer. 18 521-527
  • [8] Pan J(1995)A pitch extraction reference database EUROSPEECH 95 837-840
  • [9] Kumar B(1977)On the use of autocorrelation analysis for pitch detection IEEE Transactions Acoustics ,Speech, Signal Processing (ASSP) 25 24-33
  • [10] Kumar S(1974)Average magnitude difference function pitch extractor IEEE Transactions Acoustics, Speech, Signal Processing (ASSP) 22 353-362
123