Informed Array Processing

The concept of informed array processing is introduced in this chapter. The conceptual aim of informed array processing is to incorporate relevant spatial information about the problem to be solved into the design of spatial filters and into the estimation of the second-order statistics that are required to implement the beamformers of Chap. 7. Informed array processing techniques are developed for two important signal enhancement problems: noise reduction and dereverberation.

[1]  Emanuel A. P. Habets,et al.  Spherical harmonic domain noise reduction using an MVDR beamformer and DOA-based second-order statistics estimation , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Boaz Rafaely,et al.  Linearly constrained minimum variance method for spherical microphone arrays in a coherent environment , 2011, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays.

[3]  B. Rafaely Plane-wave decomposition of the sound field on a sphere by spherical convolution , 2004 .

[4]  R. Fisher Dispersion on a sphere , 1953, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[5]  Richard C. Hendriks,et al.  Noise Correlation Matrix Estimation for Multi-Microphone Speech Enhancement , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[6]  Suvrit Sra,et al.  A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of Is(x) , 2012, Comput. Stat..

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

[8]  Emanuel A. P. Habets,et al.  An informed spatial filter for dereverberation in the spherical harmonic domain , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[9]  Shefeng Yan,et al.  Optimal Modal Beamforming for Spherical Microphone Arrays , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  Israel Cohen,et al.  Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging , 2003, IEEE Trans. Speech Audio Process..

[11]  Tiago H. Falk,et al.  A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[12]  Emanuel A. P. Habets,et al.  Noise Reduction in the Spherical Harmonic Domain Using a Tradeoff Beamformer and Narrowband DOA Estimates , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[13]  Craig T. Jin,et al.  A dereverberation algorithm for spherical microphone arrays using compressed sensing techniques , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[14]  O. Thiergart,et al.  Coherence-based diffuseness estimation in the spherical harmonic domain , 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel.

[15]  J. C. Steinberg Effects of Distortion Upon the Recognition of Speech Sounds , 1929 .

[16]  Emanuel A. P. Habets,et al.  Dereverberation performance of rigid and open spherical microphone arrays: Theory & simulation , 2011, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays.

[17]  C. N. Hickman A Spark Chronograph Developed for Measuring Loudness of Piano Tones , 1929 .

[18]  Y. Peled,et al.  Study of Speech Intelligibility in Noisy Enclosures Using Spherical Microphones Arrays , 2008, 2008 Hands-Free Speech Communication and Microphone Arrays.

[19]  Dieter Weninger,et al.  Vision and Technique Behind the New Studios and Listening Rooms of the Fraunhofer IIS Audio Laboratory , 2009 .

[20]  Hervé Bourlard,et al.  Microphone array post-filter based on noise field coherence , 2003, IEEE Trans. Speech Audio Process..

[21]  A. Nabelek,et al.  Effect of noise and reverberation on binaural and monaural word identification by subjects with various audiograms. , 1981, Journal of speech and hearing research.

[22]  Emanuel A. P. Habets,et al.  On the Noise Reduction Performance of a Spherical Harmonic Domain Tradeoff Beamformer , 2012, IEEE Signal Processing Letters.

[23]  Emanuel A. P. Habets,et al.  3D source localization in the spherical harmonic domain using a pseudointensity vector , 2010, 2010 18th European Signal Processing Conference.

[24]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[25]  David Malah,et al.  Speech enhancement using a minimum mean-square error log-spectral amplitude estimator , 1984, IEEE Trans. Acoust. Speech Signal Process..

[26]  Özgür Yilmaz,et al.  On the approximate W-disjoint orthogonality of speech , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[27]  Emanuel A. P. Habets,et al.  New Insights Into the MVDR Beamformer in Room Acoustics , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[28]  Jacob Benesty,et al.  An Integrated Solution for Online Multichannel Noise Tracking and Reduction , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[29]  J. S. Bradley,et al.  On the importance of early reflections for speech in rooms. , 2003, The Journal of the Acoustical Society of America.

[30]  Boaz Rafaely,et al.  Method for dereverberation and noise reduction using spherical microphone arrays , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[31]  Eap Emanuël Habets Single- and multi-microphone speech dereverberation using spectral enhancement , 2007 .

[32]  Emanuel A. P. Habets,et al.  MMSE-Based Blind Source Extraction in Diffuse Noise Fields Using a Complex Coherence-Based a Priori SAP Estimator , 2012, IWAENC.

[33]  Christophe Ley,et al.  Modern Directional Statistics , 2017 .

[34]  Gary W. Elko,et al.  A highly scalable spherical microphone array based on an orthonormal decomposition of the soundfield , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[35]  Israel Cohen,et al.  Multichannel post-filtering in nonstationary noise environments , 2004, IEEE Transactions on Signal Processing.

[36]  Israel Cohen,et al.  An Integrated Real-Time Beamforming and Postfiltering System for Nonstationary Noise Environments , 2003, EURASIP J. Adv. Signal Process..

[37]  Marc Moonen,et al.  Incorporating the Conditional Speech Presence Probability in Multi-Channel Wiener Filter Based Noise Reduction in Hearing Aids , 2009, EURASIP J. Adv. Signal Process..

[38]  Jacob Benesty,et al.  Gaussian Model-Based Multichannel Speech Presence Probability , 2010, IEEE Transactions on Audio, Speech, and Language Processing.