Sound source detection using multiple noise models

Shoichi Matsunaga, Masahide Yamaguchi, Katsuya Yamauchi, Masaru Yamashita

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

1 Citation (Scopus)

Abstract

This paper describes a sound source detection approach based on elaborate noise-modeling techniques for audio indexing. For accurate detection, we devised two methods to generate multiple-noise models through clustering techniques. One method is based on frame-wise data similarity, and the other is based on noise source similarity. The former method employs K-means clustering and a smoothing technique to avoid inaccurate segmentation. The latter method involves noise modeling based on a tree data structure generated by the progressive merging of noise clusters. The classification experiments show that by using these proposed methods, audio sources can be detected with better accuracy than that achieved by a conventional method. When four noise models generated by the latter method were used, the noise detection performance increased by 3.9% for the periods in which the sound sources did not overlap. With regard to the experiments for an audio stream that included overlapped segments, the noise detection performance increased by 1.2% without a decrease in the speech detection performance.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages2025-2028
Number of pages4
DOIs
Publication statusPublished - Sep 16 2008
Externally publishedYes
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

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

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Matsunaga, S., Yamaguchi, M., Yamauchi, K., & Yamashita, M. (2008). Sound source detection using multiple noise models. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 2025-2028). [4518037] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4518037