Earticle

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

키워드

저자

• Jeong-Sik Park [ Department of Intelligent Robot Engineering, Mokwon University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605