An Approach for Solving Signal Cancellation Problem in Spherical Microphone Array

Kalantari, M.

doi:10.22061/jecei.2021.7640.415

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	An Approach for Solving Signal Cancellation Problem in Spherical Microphone Array
Journal of Electrical and Computer Engineering Innovations (JECEI)
مقاله 4، دوره 9، شماره 2، مهر 2021، صفحه 161-172 اصل مقاله (1.15 M)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22061/jecei.2021.7640.415
نویسنده
M. Kalantari^*
Artificial Intelligence Department, Faculty of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
تاریخ دریافت: 07 تیر 1399، تاریخ بازنگری: 07 آبان 1399، تاریخ پذیرش: 10 دی 1399
چکیده
Background and Objectives: One major problem in the minimum power distortionless response (MPDR) beamformer is the signal cancellation problem, i.e., the desired signal is canceled by the reflected signal, even though the distortionless response constraint is satisfied. Solving this problem is the objective of this paper. Methods: It is well known that the signal cancellation problem can be avoided by minimizing the cross-spectrum matrix of noise, i.e., using the minimum variance distortionless response (MVDR) beamformer. But, in the case of disturbance signals which have correlation with the desired signal, estimation of this matrix is a challenging problem. In this paper we propose an approach for estimating the cross-spectrum matrix of noise signal from which we can solve the signal cancellation problem. Results: Simulation examples show that using the proposed method we can bypass the signal cancellation problem completely. Conclusion: A common belief is that in the case of a disturbance that is a reflected version of the desired signal, due to cohesive appearance and disappearance of both the disturbance and the desired signal, the estimation of cross-spectrum matrix of noise signal is typically not possible in practice. So, based on this common belief, we can’t use the MVDR beamformer in this case. In this paper, we show that this common belief is a fault. We propose a general approach for estimating the cross-spectrum matrix of noise signal that is applicable even in the case of correlated disturbances.
کلیدواژه‌ها
Spherical microphone array؛ Beamforming؛ Signal cancellation problem؛ Cross-spectrum matrix of noise

مراجع
[1] B. Rafaely, Fundamentals of Spherical Arrays Processing, 2 edn. Springer,2018. [2] D. P. Jarret, E.A.P. Habets, P.A. Naylor, Theory and Applications of Spherical Microphone Array Processing, Springer, 2017. [3] S. Yan, Broadband Array Processing, Springer, 2019. [4] B. Rafaely, "Analysis and design of spherical microphone arrays," IEEE Trans. Speech and Audio Processing, 13(1): 135–143, 2005. [5] M.R.P. Thomas, "Practical concentric open sphere cardioid microphone array design for higher order sound field capture", in Proc. ICASSP - IEEE Acoustics, Speech and Signal Processing (ICASSP) Confrance: 666-670, 2019. [6] H. Beit-On, B. Rafaely, "Focusing and frequency smoothing for arbitrary arrays with application to speaker localization," IEEE/ACM Trans. Audio Speech Lang. Process., 28: 2184-2193, 2020. [7] N. Solgi, "TDL-based wideband beamforming for radio sources close to the array endfire," J. Electr. Comput. Eng. Innovations, 3(1): 47-53, 2015. [8] A.H. Moore, P.A. Naylor, "Linear prediction based dereverberation for spherical microphone arrays," IEEE Workshop on Acoustic Signal Enhancement (IWAENC): 1-5, 2016. [9] J. Li, J. Ding, C. Zheng, X. Li, "An efficient and robust speech dereverberation method using spherical microphone array," in Proc. IEEE Digital Signal Processing (DSP): 1-5, 2018. [10] Y. Yamamoto, Y. Haneda, "Spherical microphone array post-filtering for reverberation suppression using isotropic beamformings," IEEE International Workshop on Acoustic Signal Enhancement (IWAENC): 1-5, 2016. [11] Y. Peled, B. Rafaely, "Method for dereverberation and noise reduction using spherical microphone arrays," in Proc. IEEE Acoustics, Speech and Signal Processing (ICASSP): 113-116, 2010. [12] P.K.T. Wu, N. Epain, C. Jin, "A dereverberation algorithm for spherical microphone arrays using compressed sensing techniques," in Proc. IEEE Acoustics, Speech and Signal Processing (ICASSP): 4053-4056, 2012. [13] D.P. Jarrett, E.A. P. Habets, M.R.P. Thomas, N.D. Gaubitch, P.A. Naylor, "Dereverberation performance of rigid and open spherical microphone arrays: Theory & simulation," IEEE Workshop on Hands-free Speech Communication and Microphone Arrays:145-150, 2011. [14] H.L. Van Trees, Optimum Array Processing (Detection, Estimation, and Modulation Theory, Part IV), 1 edn. Wiley, 2002. [15] Y. Peled, B. Rafaely, "Linearly constrained minimum variance method for spherical microphone arrays in a coherent environment," Joint Workshop on Hands-free Speech Communication and Microphone Array: 86-91, 2011. [16] Y. Peled, B. Rafaely, "Linearly-constrained minimum-variance method for spherical microphone arrays based on plane-wave decomposition of the sound field,"IEEE Trans. Audio Speech Lang. Process., 21(12): 2532-2540, 2013. [17] D.P. Jarret, E.A.P. Habets, P.A. Naylor, "Spherical harmonic domain noise reduction using an MVDR beamformer and DOA-based second-order statistics estimation", in Proc. IEEE Acoustics, Speech and Signal Processing: 654-658, 2013. [18] D.P. Jarret, E.A.P. Habets, P.A. Naylor, "On the noise reduction performance of a spherical harmonic domain tradeoff beamformer," IEEE Signal Process Lett., 19(11): 773-776, 2012. [19] R.A. Kennedy, P. Sadeghi, Hilbert Space Methods in Signal Processing, Cambridge University Press, 2013. [20] T.D. Abhayapala, "Generalized framework for spherical microphone arrays: Spatial and frequency decomposition," in Proc. IEEE Acoustics, Speech and Signal Processing (ICASSP): 5268-5271, 2008. [21] J. Meyer, G.W. Elko, "Handling spatial aliasing in spherical array applications," in Proc. IEEE Hands-Free Speech Communication and Microphone Arrays: 1-4, 2008. [22] D.L. Alon, B. Rafaely, "Beamforming with optimal aliasing cancellation in spherical microphone arrays," IEEE/ACM Trans. Audio Speech Lang. Process., 24(1): 196-210, 2016. [23] B. Rafaely, B. Weiss, E. Bachmat, "Spatial aliasing in spherical microphone arrays," IEEE Trans. Signal Process., 55(3): 1003-1010, 2007. [24] D.L. Alon, B. Rafaely, "Spherical microphone array with optimal aliasing cancellation," in Proc. IEEE Electrical and Electronics Engineers: 1-5, 2012. [25] B. Rafaely, "Spatial sampling and beamforming for spherical microphone arrays," in Proc. IEEE Hands-Free Speech Communication and Microphone Arrays: 5-8, 2008. [26] J.R. Driscoll, D.M. Healy, "Computing Fourier transforms and convolutions on the 2-sphere", Adv. Appl. Math., 15 (2): 202–250, 1994. [27] J. Atkins, "Robust beamforming and steering of arbitrary beam patterns using spherical arrays," in Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA): 237-240, 2011. [28] T. Taguchi et al., "Investigation on optimal microphone arrangement of spherical microphone array to achieve shape beamforming," in Proc. IEEE Intelligent Systems, Modelling and Simulation: 330-333, 2014. [29] G.W. Elko, J. Meyer, "Adaptive beamformer for spherical eigenbeamforming microphone arrays," in Proc. IEEE Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA): 52-56, 2014. [30] J. Meyer, G. Elko, "A highly scalable spherical microphone array based on an orthonormal decomposition of the sound field," in Proc. IEEE Acoustics, Speech, and Signal Processing (ICASSP): II–1781–II–1784, 2002.
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An Approach for Solving Signal Cancellation Problem in Spherical Microphone Array