Technical Program

Paper Detail

Paper:SP-P4.2
Session:Topics in Speech Understanding Systems
Time:Tuesday, May 18, 15:30 - 17:30
Presentation: Poster
Topic: Speech Processing: Spoken Language Systems and Dialog
Title: A DETECTION BASED APPROACH TO ROBUST SPEECH UNDERSTANDING
Authors: Kuansan Wang; Microsoft Research 
Abstract: Field speech data pose great challenges to statistical modeling because the speech signal is often intermixed with extraneous sounds and other environmental noises that are either too difficult to compensate dynamically or too expensive to collect sufficient data for proper offline training. In this paper, we propose a detection based method in which the speech recognizer can sharply tune to only the “meaningful” speech and gracefully ignore the “unwanted” audio segments. The method is designed to be integrated with the frame synchronous search for a single pass processing. In contrast to the conventional keyword spotting techniques, this integration allows the use of the language model for better predicting the detection targets during the search. To study its efficacy, we apply the framework to a spontaneous speech understanding application where cohesive phrases congruent to the domain semantics and application context are used as the salient feature for selective hearing. Experimental results on the effectiveness of the system in dealing with out of domain phrases and other spontaneous speech effects are encouraging.
 
           Back


Home -||- Organizing Committee -||- Technical Committee -||- Technical Program -||- Plenaries
Paper Submission -||- Special Sessions -||- ITT -||- Paper Review -||- Exhibits -||- Tutorials
Information -||- Registration -||- Travel Insurance -||- Housing -||- Workshops

©2015 Conference Management Services, Inc. -||- email: webmaster@icassp2004.org -||- Last updated Wednesday, April 07, 2004