원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.7 No2
2012.05
pp.427-432
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this article, we propose an utterance verification technique for keyword spotting. The keyword spotting system analyzes a given spoken content and searches every speech segment in which one of pre-defined keywords is uttered. To maintain a stable recognition performance in the system, we propose an utterance verification technique that verifies whether a found utterance, or a candidate keyword segment, can be categorized as a keyword. The proposed approach employs a confidence measure based on the recognition results (N-best log-likelihood). In keyword spotting experiments using spoken broadcast news, our approach achieved superior performance compared to the conventional approach.
목차
Abstract
1. Introduction
2. Keyword Spotting System
3. Confidence Measure for Utterance Verification in Keyword Spotting
3.1. Confidence Measure using Keyword Recognition Results
4. Experimental Results and Analysis
4.1. Experimental Setup
4.2. Experimental Results
5. Conclusions
Acknowledgements
References
1. Introduction
2. Keyword Spotting System
3. Confidence Measure for Utterance Verification in Keyword Spotting
3.1. Confidence Measure using Keyword Recognition Results
4. Experimental Results and Analysis
4.1. Experimental Setup
4.2. Experimental Results
5. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보