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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lobo, A.P. |
| Copyright Year | 2001 |
| Description | Author affiliation: The Keytech Centre, Ericsson Mobile Commun. (UK) Ltd., Basingstoke, UK (Lobo, A.P.) |
| Abstract | This paper discusses a method for estimating glottal flow derivative model parameters using wavelet-smoothed excitation. The excitation is first estimated using the weighted recursive least squares with variable forgetting factor algorithm. The raw excitation is then smoothed by applying a discrete wavelet transform (DWT) using biorthogonal quadrature filters, and a thresholding operation carried out on the DWT amplitude coefficients, followed by an inverse DWT. The pitch period and the instant of glottal closure (IGC) are estimated from the wavelet-smoothed excitation. A six-parameter glottal flow derivative model consisting of three amplitude and three timing parameters is aligned with the IGC and optimized by minimum square error fitting to the speech waveform. The optimization is done by the method of simulated annealing. The. model is then used to reestimate the vocal-tract filter parameters in an ARX procedure followed by further stages of voice source-vocal tract estimation. The results of analysis of speech utterances from the BK TIMIT database are presented. |
| Sponsorship | IEEE Signal Process. Soc |
| Starting Page | 861 |
| Ending Page | 864 |
| File Size | 345539 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780370414 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2001.941051 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-05-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Discrete wavelet transforms Filters Optimization methods Simulated annealing Speech analysis Recursive estimation Least squares approximation Shape Pulse shaping methods Speech coding |
| Content Type | Text |
| Resource Type | Article |
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