A robust statistical-based speaker's location detection algorithm in a vehicular environment

Jwu-Sheng Hu*, Chieh Cheng Cheng, Wei Han Liu, Chia Hsing Yang

*Corresponding author for this work

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

Abstract

This work proposes a threshold adaptation method to detect speaker's location in a vehicular environment. The method is robust to unmodeled sound source locations in a noisy environment and uses a single linear microphone array. The proposed approach is an improvement over previous work [12] which adopts Gaussian mixture models (GMMs) to model location-dependent but content and speaker independent acoustic characteristics of sound sources. Experimental results show that this scheme can overcome the far-filed and near-filed problem with the same architecture and perform well in both line-of-sight and non-line-of-sight cases.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Automation Science and Engineering, CASE
Pages274-279
Number of pages6
DOIs
StatePublished - 1 Dec 2007
Event2006 IEEE International Conference on Automation Science and Engineering, CASE - Shanghai, China
Duration: 8 Oct 200610 Oct 2006

Publication series

Name2006 IEEE International Conference on Automation Science and Engineering, CASE

Conference

Conference2006 IEEE International Conference on Automation Science and Engineering, CASE
CountryChina
CityShanghai
Period8/10/0610/10/06

Keywords

  • GMM
  • HCI
  • Microphone array
  • Sound localization

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  • Cite this

    Hu, J-S., Cheng, C. C., Liu, W. H., & Yang, C. H. (2007). A robust statistical-based speaker's location detection algorithm in a vehicular environment. In 2006 IEEE International Conference on Automation Science and Engineering, CASE (pp. 274-279). [4120359] (2006 IEEE International Conference on Automation Science and Engineering, CASE). https://doi.org/10.1109/COASE.2006.326893