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DOA Estimation in Car for Abnormal Sound Localisation

By Luyang Guan, Gu Fengshou, Bruno Fazenda, Andrew Ball, Yang Yichun and Teng Pengxiao

Abstract

Spurious noise in car cabinet can be not only annoying bust also indicative of some\ud potential faults. A small square microphone array with 4 sensors was adopted in this paper to\ud localize the sound source in car for fault diagnosis. A new voice activity detection (VAD) algorithm\ud was proposed for the typical discontinuous short-time noise in car due to some fault and applied to\ud direction of arrival (DOA) estimation as a pre-processing stage. Four different time delay estimation\ud methods were compared based on the measurements from a typical passenger. Experimental results\ud illustrate that the VAD algorithm is crucial to achieve robust fault localization performance and the\ud generalized cross-correlation method with phase transform weighting function is an appropriate\ud fault localizer in car

Topics: T1, TK
OAI identifier: oai:eprints.hud.ac.uk:3660

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Citations

  1. (2006). Analysis of Source Localization in Reverberant Environments. doi
  2. Audio Signal Processing and Recognition, Information on http://www.cs.nthu.edu. tw/~jang
  3. (2006). Performance of GCC- and AMDF-Based Time-Delay Estimation in Practical Reverberant Environments. doi
  4. (2006). Time Delay Estimation in Room Acoustic Environments: An overview. doi

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