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| 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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