Direction-of-arrival estimation algorithms using single acoustic vector-sensor

Direction-of-arrival (DoA) estimation of an acoustic source has numerous applications ranging from defence to entertainment industry. The DoA of an acoustic source can be estimated either by using microphone array processing which has large aperture size, or it can be obtained using acoustic particle velocity which is measured using a compact device called acoustic vector sensor. We have studied the performance of different algorithms, viz., Bartlett Beamforming, Capons Beamforming, eigenvector and Acoustic intensity vector for DoA estimation of single source and multiple sources using an L-shaped AVS. The L-shaped AVS comprises of three homogeneous sensors i.e. omni-directional microphones with an aperture of 14.14 mm. The COMSOL-Multiphysics, a Finite element method tool, has been used to generate the experimental environment for the signal recording of an L-shaped AVS.

[1]  Volkan Cevher,et al.  Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization , 2016, IEEE Transactions on Signal Processing.

[2]  Zhengyou Zhang,et al.  Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings , 2008, IEEE Transactions on Multimedia.

[3]  Shengkui Zhao,et al.  A real-time 3D sound localization system with miniature microphone array for virtual reality , 2012, 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).

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

[5]  Jan Wouters,et al.  Sound source localization using hearing aids with microphones placed behind-the-ear, in-the-canal, and in-the-pinna , 2011, International journal of audiology.

[6]  Kristian Kroschel,et al.  System for robust 3D speaker tracking using microphone array measurements , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[7]  J. Tabrikian,et al.  Target Detection and Localization Using MIMO Radars and Sonars , 2006, IEEE Transactions on Signal Processing.

[8]  Nan Guo,et al.  New Research on MEMS Acoustic Vector Sensors Used in Pipeline Ground Markers , 2014, Sensors.

[9]  Jon Barker,et al.  The second ‘chime’ speech separation and recognition challenge: Datasets, tasks and baselines , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[10]  Hiroaki Kitano,et al.  Applying scattering theory to robot audition system: robust sound source localization and extraction , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[11]  Thomas Hain,et al.  Recognition and understanding of meetings the AMI and AMIDA projects , 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

[12]  A. Benjamin Premkumar,et al.  Acoustic vector sensor based reverberant speech separation with probabilistic time-frequency masking , 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

[13]  Haizhou Li,et al.  A Robust Real-Time Sound Source Localization System for Olivia Robot , 2010 .

[14]  F. Fahy Measurement of acoustic intensity using the cross‐spectral density of two microphone signals , 1977 .

[15]  Finn Jacobsen,et al.  Measurement of sound intensity: p-u probes versus p-p probes , 2005 .

[16]  Arye Nehorai,et al.  Identifiability in Array Processing Models with Vector-Sensor Applications , 1994, IEEE Seventh SP Workshop on Statistical Signal and Array Processing.

[17]  Jiangtao Xi,et al.  Multisource DOA estimation based on time-frequency sparsity and joint inter-sensor data ratio with single acoustic vector sensor , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[18]  Christian Ritz,et al.  Encoding Multiple Audio Objects Using Intra-Object Sparsity , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[19]  Juha Vilkamo,et al.  Signal-Dependent Spatial Filtering Based on Weighted-Orthogonal Beamformers in the Spherical Harmonic Domain , 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[20]  Douglas L. Jones,et al.  Beamforming with collocated microphone arrays , 2003 .

[21]  Ville Pulkki,et al.  Spatial Sound Reproduction with Directional Audio Coding , 2007 .

[22]  John McDonough,et al.  Distant Speech Recognition , 2009 .

[23]  J.A. Clark,et al.  Localization of Radiating Sources along the Hull of a Submarine Using a Vector Sensor Array , 2006, OCEANS 2006.

[24]  Jiangtao Xi,et al.  Encoding and communicating navigable speech soundfields , 2015, Multimedia Tools and Applications.

[25]  Arye Nehorai,et al.  Acoustic vector-sensor array processing , 1994, IEEE Trans. Signal Process..

[26]  Athanasios Mouchtaris,et al.  3D DOA estimation of multiple sound sources based on spatially constrained beamforming driven by intensity vectors , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[27]  A. Benjamin Premkumar,et al.  Particle Filtering Approaches for Multiple Acoustic Source Detection and 2-D Direction of Arrival Estimation Using a Single Acoustic Vector Sensor , 2012, IEEE Transactions on Signal Processing.

[28]  Finn Jacobsen,et al.  A comparison of two different sound intensity measurement principles , 2005 .

[29]  Benjamin A. Cray,et al.  Broadband Ocean Acoustic (BOA) Laboratory in Narragansett Bay: preliminary in-situ harbor security measurements , 2006, SPIE Defense + Commercial Sensing.

[30]  Ville Pulkki,et al.  Cross Pattern Coherence Algorithm for Spatial Filtering Applications Utilizing Microphone Arrays , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[31]  B. Saggin,et al.  Sound Source Identification Using Coherence- and Intensity-Based Methods , 2007, IEEE Transactions on Instrumentation and Measurement.

[32]  Douglas L. Jones,et al.  THE NTU-ADSC SYSTEMS FOR REVERBERATION CHALLENGE 2014 , 2014 .

[33]  Ahmet M. Kondoz,et al.  Intensity vector direction exploitation for exhaustive blind source separation of convolutive mixtures , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[34]  Patrick Danès,et al.  Broadband variations of the MUSIC high-resolution method for Sound Source Localization in Robotics , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[35]  Patrick A. Naylor,et al.  Speech Dereverberation , 2010 .