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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