| Paper: | SP-P7.15 (ICASSP 2003 Paper) | ||
| 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. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops