Skip to Main Content
 

Global Search Box

 
 
 
 

ETD Abstract Container

Abstract Header

Frequency tracking and its application in speech analysis

Totarong, Pian

Abstract Details

1983, Master of Science (MS), Ohio University, Electrical Engineering & Computer Science (Engineering and Technology).

Various spectral estimation methods are investigated for the purpose of tracking the frequencies of the given time series data including sampled speech signals. Analysis and numerical results yield that discrete Fourier transformation (DFT), widely-used autoregressive modeling (AR) and unmodified composite sinusoidal modeling (CSM) fail to track rapidly changing frequencies. A chirp Z transform (CZT) is used to overcome this problem. In addition, the AR and CSM are modified to improve tracking capabilities of the rapidly changing frequency. Development of the modified methods is described in the thesis. A fast algorithm to solve Hankel system of equations arisen from CSM is developed based on Kumar's equation and detailed analysis is also presented in the thesis. Numerical simulations of sinusoids with varying frequencies and applications to track the formant frequencies of speech signals are treated.

Kogi Ogino (Advisor)
181 p.

Recommended Citations

Citations

  • Totarong, P. (1983). Frequency tracking and its application in speech analysis [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1183480507

    APA Style (7th edition)

  • Totarong, Pian. Frequency tracking and its application in speech analysis. 1983. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1183480507.

    MLA Style (8th edition)

  • Totarong, Pian. "Frequency tracking and its application in speech analysis." Master's thesis, Ohio University, 1983. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1183480507

    Chicago Manual of Style (17th edition)