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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schnell, K. Lacroix, A. |
| Copyright Year | 2007 |
| Description | Author affiliation: Inst. of Appl. Phys., Goethe-Univ. Frankfurt, Frankfurt am Main, Germany (Schnell, K.; Lacroix, A.) |
| Abstract | In this contribution a time-varying linear prediction is proposed for segment-wise speech analysis. In the conventional linear prediction approach, speech segments are analyzed independently from each other assuming stationary conditions within the frames. However, the articulatory speech production process is a continuous non-stationary process. Considering this fact, a time-varying analysis is treated under the constraints of a continuous time evolution of the predictor coefficients. The coefficients can be determined by a least mean square approach. Analysis results show that the proposed method, especially for short segments, leads to smoother time evolutions of the spectral envelopes in comparison to the common segment-wise time-invariant prediction. Furthermore, the proposed method is more robust in contrast to the covariance method regarding variations of the segmentation. The time-varying analysis approach yields a better estimation of the vocal tract resonances which can be utilized for a variety of applications. |
| Starting Page | 2045 |
| Ending Page | 2049 |
| File Size | 1141513 |
| Page Count | 5 |
| File Format | |
| ISBN | 9788392134046 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-03 |
| Publisher Place | Poland |
| Access Restriction | Subscribed |
| Rights Holder | EUSIPCO |
| Subject Keyword | Decision support systems Europe Signal processing |
| Content Type | Text |
| Resource Type | Article |
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