Acoustic direction finding in highly reverberant environment with single acoustic vector sensor

We propose a novel wideband acoustic direction finding method for highly reverberant environments using measurements from a single Acoustic Vector Sensor (AVS). Since an AVS is small in size and can be effectively used within the full acoustic frequency bands, the proposed solution is suitable for wideband acoustic source localization. In particular, we introduce a novel approach to extract the signal portions that are not distorted with multipath signals and noise. We do not make any stochastic and sparseness assumptions regarding the underlying signal source. Hence, our approach can be applied to a wide range of wideband acoustic signals. We present experiments with acoustic signals that are specially exposed to long reverberations, where the Signal-to-Noise Ratio is as low as 0 dB. In these experiments, the proposed method reliably estimates the source direction with less than 5 degrees of error even under the introduced significantly high reverberation conditions.

[1]  Jonathan Kitchens,et al.  Acoustic vector-sensor array processing , 2010 .

[2]  Bhaskar D. Rao,et al.  A Two Microphone-Based Approach for Source Localization of Multiple Speech Sources , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[3]  Douglas L. Jones,et al.  Localization of multiple acoustic sources with small arrays using a coherence test. , 2008, The Journal of the Acoustical Society of America.

[4]  Douglas L. Jones,et al.  Beamformer performance with acoustic vector sensors in air. , 2006, The Journal of the Acoustical Society of America.

[5]  Maximo Cobos,et al.  Analysis of room reverberation effects in source localization using small microphone arrays , 2010, 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP).

[6]  Shengkui Zhao,et al.  Robust DOA estimation of multiple speech sources , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[7]  Rodney A. Kennedy,et al.  Intrinsic Limits of Dimensionality and Richness in Random Multipath Fields , 2007, IEEE Transactions on Signal Processing.

[8]  E. Habets,et al.  On the angular error of intensity vector based direction of arrival estimation in reverberant sound fields. , 2010, The Journal of the Acoustical Society of America.

[9]  Volkan Cevher,et al.  Structured Sparsity Models for Reverberant Speech Separation , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.