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| Paper: | SP-P7.15 |
| Session: | Topics in Speech Analysis |
| Time: | Wednesday, May 19, 13:00 - 15:00 |
| Presentation: |
Poster (ICASSP 2003 Presentation) |
| Topic: |
Speech Processing: Speech Analysis |
| Title: |
GRADIENT-DESCENT BASED WINDOW OPTIMIZATION FOR LINEAR PREDICTION ANALYSIS |
| Authors: |
Wai Chu; DoCoMo USA Labs | | |
| Abstract: |
The autocorrelation method of linear prediction (LP) analysis relies on a window for data extraction; we propose an approach to optimize the window based on gradient-descent. It is shown that the optimized window has improved performance with respect to popular windows, such as Hamming. The technique has potential in quality improvement for many LP-based speech coders. |
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