Pitch tracking of acoustic signals based on average squared mean difference function

被引:5
|
作者
Chakraborty, Roudra [1 ]
Sengupta, Debapriya [2 ]
Sinha, Sagnik [1 ]
机构
[1] Jadavpur Univ, Dept Math, Kolkata 700032, W Bengal, India
[2] Indian Stat Inst, Appl Stat Div, Kolkata 700108, W Bengal, India
关键词
Fundamental frequency; Pitch; Autocovariance; Autocorrelation; AMDF; Gini's mean difference; Sample variance; Likelihood Ratio test; Gross pitch error; White noise error; SPEAKER RECOGNITION; AUTOCORRELATION; SPEECH;
D O I
10.1007/s11760-008-0072-5
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a method of pitch tracking based on variance minimization of locally periodic subsamples of an acoustic signal is presented. Replicates along the length of the periodically sampled data of the signal vector are taken and locally averaged sample variances are minimized to estimate the fundamental frequency. Using this method, pitch tracking of any text independent voiced signal is possible for different speakers.
引用
收藏
页码:319 / 327
页数:9
相关论文
共 3 条
  • [1] Pitch tracking of acoustic signals based on average squared mean difference function
    Roudra Chakraborty
    Debapriya Sengupta
    Sagnik Sinha
    Signal, Image and Video Processing, 2009, 3 : 319 - 327
  • [2] Extended Average Magnitude Difference Function Based Pitch Detection
    Muhammad, Ghulam
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2011, 8 (02) : 197 - 203
  • [3] PITCH DETECTION USING CIRCULAR AVERAGE MAGNITUDE DIFFERENCE FUNCTION BASED ON WAVELET TRANSFORM
    Dong, Jing
    Wei, Xiaopeng
    Zhang, Qiang
    Zhao, Yanping
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2009, 5 (09): : 2717 - 2724