| Paper: | SP-P6.12 | ||
| Session: | Feature Analysis for ASR, TTS, and Verification | ||
| Time: | Wednesday, May 19, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Feature Extraction | ||
| Title: | ENTROPY-BASED VARIABLE FRAME RATE ANALYSIS OF SPEECH SIGNALS AND ITS APPLICATION TO ASR | ||
| Authors: | Hong You; University of California, Los Angeles | ||
| Qifeng Zhu; ICSI | |||
| Abeer Alwan; University of California, Los Angeles | |||
| Abstract: | Most speech processing algorithms analyze speech signals frame by frame with a fixed frame rate. Fixed-rate analysis is inconsistent with human speech perception and effectively assigns the same importance or 'weight' to all equi-duration frames. In [1], we proposed a variable frame rate (VFR) analysis technique that is based on a Euclidian distance measure. In this paper, we propose another approach for VFR based on the entropy of the signal. We compare entropy and Euclidian distance measures for VFR in ASR experiments using the Aurora2 and TI46 databases. Better performance is observed for the entropy-based VFR over our earlier VFR approach and over the fixed-rate system. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops