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                 mental noise sources[J]. Journal of the Acoustical Society  on Signal Processing, 2006, 54(8): 3078–3089.
                 of America, 2010, 128(6): 3535–3542.           [26] Yan S. Optimal design of modal beamformers for circular
             [21] Teutsch H, Kellermann W. Acoustic source detection and  arrays[J]. Journal of the Acoustical Society of America,
                 localization based on wavefield decomposition using circu-  2015, 138(4): 2140–2151.
                 lar microphone arrays[J]. Journal of the Acoustical Society  [27] Teutsch H. Modal array signal processing:  principles
                 of America, 2006, 20(5): 2724–2736.               and applications of acoustic wavefield decomposition[J].
             [22] Torres A M, Cobos M, Pueo B, et al.  Robust acous-  Lecture Notes in Control & Information Sciences, 2007,
                 tic source localization based on modal beamforming and  348(1): 60–76.
                 time-frequency processing using circular microphone ar-  [28] Garofolo J S, Lamel L F, Fisher W M, et al.  Darpa
                 rays[J]. Journal of the Acoustical Society of America,  timit acoustic-phonetic continuous speech corpus CD-
                 2012, 132(3): 1511.                               ROM {TIMIT}[R]. NIST Interagency/Internal Report
             [23] Parthy A, Epain N, van Schaik A, et al. Comparison of  (NISTIR), 1993.
                 the measured and theoretical performance of a broadband  [29] Allen J B, Berkley D A. Image method for efficiently sim-
                 circular microphone array[J]. Journal of the Acoustical So-  ulating small-room acoustics[J]. Journal of the Acoustical
                 ciety of America, 2011, 130(6): 3827–3837.        Society of America, 1979, 65(4): 943–950.
             [24] Chan S C, Chen H H. Uniform concentric circular ar-  [30] Sohn J, Kim N S, Sung W. A statistical model based
                 rays with frequency-invariant characteristics-theory, de-  voice activity detection[J]. IEEE Signal Processing Let-
                 sign, adaptive beamforming and DOA estimation[J]. IEEE  ters, 1999, 6(1): 1–3.
                 Transactions on Signal Processing, 2007, 55(1): 165–177.  [31] Schroeder M. New method of measuring reverberation
             [25] Belloni F, Koivunen V. Beamspace transform for UCA:  time[J]. Journal of the Acoustical Society of America,
                 error analysis and bias reduction[J]. IEEE Transactions  1965, 37(3): 409–412.
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