The signal change-point detection using the high-order statistics of log-likelihood difference functions

Yih-Ru Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In this paper, a supervised neural network based signal changepoint detector is proposed. The proposed detector uses some high order statistics of log-likelihood difference functions as the input features in order to improve the detection performance. These high order statistics can be easily calculated from the CCGMM coefficients of signals. Performance of the proposed signal change-point detector was examined by using a database of five-hour TV broadcast news. Experimental results showed that the Equal Error Rate (EER) was improved from 16.6% achieved by the baseline method using the CCGMM-based divergence measure to 14.4% by the proposed method.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages4381-4384
Number of pages4
DOIs
StatePublished - 16 Sep 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: 31 Mar 20084 Apr 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period31/03/084/04/08

Keywords

  • Acoustic signal detection
  • Speech processing

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    Wang, Y-R. (2008). The signal change-point detection using the high-order statistics of log-likelihood difference functions. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 4381-4384). [4518626] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4518626