The minimum variance (MV) criterion is widely used for the weight vector estimation of the adaptive microphone array. The drawback of this criterion is the cancellation of the desired speech signal and its degradation in multipath wave propagation environment. Applying the maximum signal to interference ratio (MSIR) instead of the MV criterion has two benefits. The first one is the high suppression of the interferences and the second one the desired speech enhancement. The proposed MSIR criterion is applied to the new generalized eigenvalue based beamformer (GEVBF). Its superiority is experimentally proved by simulating a room with reverberation.

1.
O. L.
Frost
, “
An algorithm for linearly constrained adaptive array processing
,”
Proc. IEEE
60
,
926
935
(
1972
).
2.
L. J.
Griffiths
and
C. W.
Jim
, “
An alternative approach to linearly constrained adaptive beamforming
,”
IEEE Trans. Antennas Propag.
AP-30
,
27
34
(
1982
).
3.
Z. Saric and S. Jovicic, “Adaptive beamforming in room with reverberation,” Eurospeech 2003, Geneva, Sep. 2003, pp. 529–532.
4.
O. Hoshuyama, B. Begasse, A. Sugiyama, A. Hirano, “A realtime robust adaptive microphone array controlled by an SNR estimate,” Proc. ICASSP98, 1988, pp. 3605–3608.
5.
Z. M.
Saric
and
S. T.
Jovicic
, “
Adaptive microphone array based on pause detection
,”
ARLO
5
,
68
74
(
2004
).
6.
Z. Saric and S. Jovicic, “Subband pause in speech signal detection using microphone array in room with reverberation,” Proceedings of the SPECOM 2004, St. Petersburg, October 2004, pp. 132–137.
7.
D. R.
Morgan
, “
Adaptive algorithms for solving generalized eigenvalue signal enhancement problem
,”
Signal Processing
84
,
957
968
(
2004
), ISSN 0165-1684.
8.
J. B.
Allen
and
D. A.
Berkley
, “
Image method for efficiently simulating small-room acoustics
,”
J. Acoust. Soc. Am.
65
,
943
950
(
1979
).
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