Time frequency representations for the analysis of speech signals

Author

Cheng Jun ; Liu Feng ; Yi Kechu

Author_Institution

Dept. of Inf. Eng., Xidian Univ., Xi´an, China

Volume

3

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

353

Abstract

We investigate the time-frequency representations (TFRs) for the analysis of speech signals. In order to compare the performance of some typical TFRs, e.g., spectrogram (SG), the generalized time-frequency representation with cone-shaped kernal (CK), and reduced interference distribution (RID), several experiments have been conducted using simulated signals as well as speech signals. We also formulate an algorithm for efficient computation of CK as well as RID, and present experimental results which demonstrate the potential power of the technique for speech.<>

Keywords

spectral analysis; speech analysis and processing; time-frequency analysis; cone-shaped kernal; experimental results; generalized time-frequency representation; reduced interference distribution; simulated signals; spectrogram; speech signal analysis; speech signals; time frequency representations; Autocorrelation; Computational modeling; Failure analysis; Information analysis; Interference; Performance analysis; Signal analysis; Signal resolution; Speech analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.327995

Filename

327995