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

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

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-riled 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, VOLS 1 AND 2
PublisherIEEE
Pages274-+
ISBN (Print)978-1-4244-0310-3
StatePublished - 8 Oct 2006

Keywords

  • Microphone array
  • sound locatization
  • GMM
  • HCI

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  • Cite this

    Hu, J-S., Cheng, C-C., Liu, W-H., & Yang, C. H. (2006). Robust statistical-based speaker's location detection algorithm in a vehicular environment. In 2006 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2 (pp. 274-+). IEEE.