|تعداد مشاهده مقاله||2,474,453|
|تعداد دریافت فایل اصل مقاله||1,744,177|
|Journal of Electrical and Computer Engineering Innovations (JECEI)|
|مقاله 12، دوره 10، شماره 2، مهر 2022، صفحه 393-402 اصل مقاله (671.83 K)|
|نوع مقاله: Original Research Paper|
|شناسه دیجیتال (DOI): 10.22061/jecei.2021.8304.501|
|M. Kalantari* 1؛ M. Mohammadpour Tuyserkani2؛ S.H. Amiri2|
|1Artificial Intelligence Department, Faculty of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.|
|2Artificial Intelligence Department, Faculty of Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran.|
|تاریخ دریافت: 14 مهر 1400، تاریخ بازنگری: 15 آذر 1400، تاریخ پذیرش: 14 بهمن 1400|
|Background and Objectives: Operating frequency range of a microphone array is limited by the array configuration. Spatial aliasing occurs at frequencies considered to be out of the microphone array operating range that leads to side-lobes in the array beam pattern and consequently degrades the performance of the microphone array. In this paper, a general approach for increasing the operational bandwidth of the spherical microphone array without physical changes to the microphone array is proposed. |
Methods: Recently, Alon and Rafaely proposed a beamforming method with aliasing cancellation and formulated it for some well-known beamformers such as maximum directivity (MD), maximum white noise gain (WNG), and minimum variance distortionless response (MVDR) which have been called MDAC, MGAC, MVDR-AC beamformer respectively. In this paper, we derive MDAC method from different point of view. Then, based on our perspective, we propose a new method that is easily applicable for any beamforming algorithms.
Results: Comparing with MDAC and MGAC beamformers, performance measures for our approach show improvement in directivity index (DI) and white noise gain (WNG) by nearly 19% and 15% respectively.
Conclusion: Aliasing and, in consequence, unwanted side lobe formation is the main factor in spherical microphone arrays operational bandwidth determination. Most of the methods previously presented to reduce aliasing demanded physical changes in the array structure which comes at a cost. In this paper we propose a new method based on Alon and Rafaely’s approach via designing a constrained optimization problem using orthogonality property of spherical harmonics, to achieve better performance.
|Spherical Microphone arrays؛ Aliasing؛ Beamforming؛ Operational Bandwidth|
 D. Alon, B. Rafaely, “Beamforming with optimal aliasing cancellation in spherical microphone arrays,” IEEE/ACM Trans. Audio Speech Lang. Process., 24(1): 196-210 2016.
 B. Bernschütz, “Bandwidth extension for microphone arrays,” in Proc. 133th AES Convention, San Francisco, USA: 1–10, 2012.
 B. Bernschütz, “Microphone arrays and sound field decomposition for dynamic binaural recording”, Ph.D. thesis, Technische Universität Berlin, 2016.
 W.H. Liao, Y. Mitsufuji, K. Osako, K. Ohkuri, “Microphone array geometry for two dimensional broadband sound field recording,” in Proc. Audio Engineering Society Convention, 2018.
 T.D. Abhayapala, D.B. Ward, “Theory and design of high order sound field microphones using spherical microphone array,” in Proc. ICASSP: 1949–1952, 2002.
 B. Rafaely, “Spatial sampling and beamforming for spherical microphone arrays,” in Proc. Hands-Free Speech Communication and Microphone Arrays (HSCMA): 5-8, 2008.
 J. Meyer, G. Elko, “A highly scalable spherical microphone array based on an orthonormal decomposition of the sound field”, in Proc. IEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP): II–1781–II–1784, 2002.
 Z. Li, R. Duraiswami, “Flexible and optimal design of spherical microphone arrays for beamforming,” IEEE Trans. Audio Speech Lang. Process., 15(2): 702–714, 2007.
 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.
 M.R.P. Thomas, “Practical concentric open sphere cardioid microphone array design for higher order sound field capture,” in Proc. ICASSP-IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP): 666-670, 2019.
 D.P. Jarret, E.A.P. Habets, P.A. Naylor, Theory and Applications of Spherical Microphone Array Processing, Springer, 2017.
 B. Rafaely, “Plane-Wave decomposition of the sound field on a sphere by spherical convolution,” J. Acous. Soc. Am., 116(4): 2149–2157, 2004.
 V. Pulkki, S. Delikaris-Manias, A. Politis, “Spatial decomposition by spherical array processing,” in Proc. Parametric Time-Frequency Domain Spatial Audio, IEEE: 25-47, 2018.
 J.R. Driscoll, D. M. Healy, “Computing Fourier transforms and convolutions on the 2-sphere,” Adv. Appl. Math., 15(2): 202–250, 1994.
 A.H. Moore, M. Brookes, P.A. Naylor, “Robust spherical harmonic domain interpolation of spatially sampled array manifolds,” in Proc. IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP), 2017.
 B. Rafaely, “Analysis and design of spherical microphone arrays,” IEEE Trans. Speech Audio Process., 13(1): 135–143, 2005.
 U. Elahi, Z. Khalid, R.A. Kennedy, ”Design of a spatially constrained anti-aliasing filter using slepian functions on the sphere,” in Proc. 13th International Conf. Signal Processing and Communication Systems (ICSPCS): 1-6, 2019.
 B. Bernschutz, “Bandwidth extension for microphone arrays”, in Proc. Audio Engineering Society Convention 133, Audio Engineering Society, 2012.
 U. Elahi, Z. Khalid, R.A. Kennedy, “Spatially constrained anti-aliasing filter using slepian eigenfunction window on the sphere,” in Proc. 12th International Conf. Signal Processing and Communication Systems (ICSPCS): 1-6, 2018.
 J. Lin, X. Wu, T. Qu, “Anti spatial aliasing HOA encoding method based on aliasing projection matrix,” in Proc. IEEE 3rd International Conf. Information Communication and Signal Processing (ICICSP): 321-325, 2020.
 J. Dmochowski, J. Benesty, S. Affes, “On spatial aliasing in microphone arrays,” IEEE Trans. Signal Process., 57(4): 1383–1395, 2009.
 X. Zhao, G. Huang, J. Chen, J. Benesty, “An improved solution to the frequency-invariant beamforming with concentric circular microphone arrays,” in Proc. IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP): 556-560, 2020.
 B. Rafaely, B. Weiss, E. Bachmat, “Spatial aliasing in spherical microphone arrays,” IEEE Trans. Signal Process., 55(3): 1003–1010, 2007.
 M. Agmon, B. Rafaely, J. Tabrikian, “Maximum directivity beamformer for spherical-aperture microphones,” in Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA): 153–156, 2009.
 V. Tourbabin, B. Rafaely, “Sub-Nyquist spatial sampling using arrays of directional microphones,” in Proc. Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA): 76–80, 2011.
 S. Brown, V. Sethu, D. Taubman, “Spatial wiener filter to reduce spatial aliasing with spherical microphone arrays,” J. Acous. Soc. Am., 145(4): 2254-2264, 2019.
 A.D. Firoozabadi, P. Irarrazaval, P. Adasme, H. Durney, M.S. Olave, “A novel quasi-spherical nested microphone array and multiresolution modified SRP by gammatone filterbank for multiple speakers localization,” in Proc. Signal Process.: Algorithms, Architectures, Arrangements, and Applications (SPA): 208-213 2019.
تعداد مشاهده مقاله: 240
تعداد دریافت فایل اصل مقاله: 115