Title :
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
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;
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
DOI :
10.1109/TENCON.1993.327995
