Technical Program

Paper Detail

Paper:SP-P7.8
Session:Topics in Speech Analysis
Time:Wednesday, May 19, 13:00 - 15:00
Presentation: Poster
Topic: Speech Processing: Speech Analysis
Title: FORMANT FREQUENCY ESTIMATION IN NOISE
Authors: Bin Chen; University of Texas, Dallas 
 Philipos Loizou; University of Texas, Dallas 
Abstract: This paper addresses the problem of formant frequency estimation of speech signals corrupted by colored noise. The spectrum is sequentially segmented inot K segments so that each segment contains a single formant. A segmentation metric based on Wiener filter theory is proposed for determining the segment boundaries. A peak-picking algorithm is used for estimating the formant frequencies in each segment. Results obtained using vowels embedded in +5 dB S/N speech-shaped noise, indicated that the proposed algorithm produced formant frequencies which were comparable to those estimated in quiet.
 
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