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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fukada, T. Tokuda, K. Kobayashi, T. Imai, S. |
| Copyright Year | 1992 |
| Description | Author affiliation: Inf. Syst. Res. Center, Canon Inc., Kawasaki, Japan (Fukada, T.) |
| Abstract | The authors describe a mel-cepstral analysis method and its adaptive algorithm. In the proposed method, the authors apply the criterion used in the unbiased estimation of log spectrum to the spectral model represented by the mel-cepstral coefficients. To solve the nonlinear minimization problem involved in the method, they give an iterative algorithm whose convergence is guaranteed. Furthermore, they derive an adaptive algorithm for the mel-cepstral analysis by introducing an instantaneous estimate for gradient of the criterion. The adaptive mel-cepstral analysis system is implemented with an IIR adaptive filter which has an exponential transfer function, and whose stability is guaranteed. The authors also present examples of speech analysis and results of an isolated word recognition experiment.< |
| Starting Page | 137 |
| Ending Page | 140 |
| File Size | 311107 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780305329 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.1992.225953 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-03-23 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech analysis Adaptive algorithm Algorithm design and analysis Minimization methods Iterative algorithms Convergence Adaptive systems Adaptive filters Transfer functions Stability analysis |
| Content Type | Text |
| Resource Type | Article |
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