MULTIPLE POSITION ROOM RESPONSE EQUALIZATION WITH FREQUENCY DOMAIN FUZZY C-MEANS PROTOTYPE DESIGN

In this paper we elaborate and improve the multiple position room response equalization technique based on fuzzy c-means clustering of Bharitkar and Kyriakakis. Differently from their approach, we perform most of operations in the frequency domain and we apply the fuzzy c-means clustering to the amplitude room frequency responses at different positions. We show in the paper that working in the frequency domain can avoid many onerous operations performed in the approach of Bharitkar and Kyriakakis and thus a computationally efficient algorithm for multiple position room response equalization can be obtained. In all our experiments, the equalization performances of the proposed technique have always been similar to those of the technique of Bharitkar and Kyriakakis.

[1]  Philip A. Nelson,et al.  Multiple-Point Equalization in a Room Using Adaptive Digital Filters , 1989 .

[2]  John Mourjopoulos,et al.  Errors in Real-Time Room Acoustics Dereverberation* , 2004 .

[3]  Shoji Makino,et al.  Multiple-point equalization of room transfer functions by using common acoustical poles , 1997, IEEE Trans. Speech Audio Process..

[4]  Sanya Mitaim,et al.  Effects of Weights in Weighted Fuzzy C-Means Algorithm for Room Equalization at Multiple Locations , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[5]  Masato Miyoshi,et al.  Inverse filtering of room acoustics , 1988, IEEE Trans. Acoust. Speech Signal Process..

[6]  Sascha Spors,et al.  Active listening room compensation for massive multichannel sound reproduction systems using wave-domain adaptive filtering. , 2007, The Journal of the Acoustical Society of America.

[7]  Matti Karjalainen,et al.  Modal Equalization of Loudspeaker-Room Responses at Low Frequencies , 2003 .

[8]  M. Karjalainen,et al.  About room response equalization and dereverberation , 2005, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005..

[9]  C. Kyriakakis,et al.  Perceptual multiple location equalization with clustering , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[10]  Julius O. Smith,et al.  Bark and ERB bilinear transforms , 1999, IEEE Trans. Speech Audio Process..

[11]  Sunil Bharitkar,et al.  Immersive Audio Signal Processing , 2006 .

[12]  A. Oppenheim,et al.  Computation of spectra with unequal resolution using the fast Fourier transform , 1971 .

[13]  C. Kyriakakis,et al.  A cluster centroid method for room response equalization at multiple locations , 2001, Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575).