Improving SVM-based speech/music classifier based on conditional MAP criterion

Citations

SCOPUS

0

초록

To enhance SVM-based speech/music classifications by exploiting substantial inter-frame correlations in speech/music frames, we propose a technique using the second-order conditional maximum a posteriori (CMAP) probability that considers not only the current observation but also the classification results of the two previous frames.

키워드

Classification resultsInter-frameMaximum a posterioriSecond ordersSpeech/music classificationMaximum likelihood
제목
Improving SVM-based speech/music classifier based on conditional MAP criterion
저자
Chang, Joon HyukLim, ChungsooLee, Seong-Ro
DOI
10.1109/ICTC.2011.6082609
발행일
2011-09
유형
Proceeding
저널명
ICTC
페이지
28 ~ 30