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- W2161545007 abstract "This paper addresses the problem of formant frequency estimation of speech signals corrupted by colored noise. The spectrum is sequentially segmented into 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." @default.
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- W2161545007 date "2004-09-28" @default.
- W2161545007 modified "2023-10-18" @default.
- W2161545007 title "Formant frequency estimation in noise" @default.
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- W2161545007 doi "https://doi.org/10.1109/icassp.2004.1326052" @default.
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