Name
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICASSP.2004.1326052 | ICASSP (1) |
Keywords | Field | DocType |
speech processing,wiener filter theory,formant frequency estimation,frequency estimation,spectral analysis,wiener filters,colored noise,speech signals,spectrum sequential segmentation,peak-picking algorithm,segmentation metric,segment boundaries,speech synthesis,linear predictive coding,dynamic programming,wiener filter,spectrum | Wiener filter,QUIET,Speech processing,Colors of noise,Pattern recognition,Computer science,Segmentation,Speech recognition,Artificial intelligence,Spectral analysis,Formant | Conference |
Volume | ISSN | ISBN |
1 | 1520-6149 | 0-7803-8484-9 |
Citations | PageRank | References |
5 | 0.64 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Chen | 1 | 5 | 0.64 |
| Philipos C. Loizou | 2 | 991 | 71.00 |