Novel decorrelation approach for an advanced multichannel acoustic echo cancellation system

A multichannel sound reproduction system aims at offering an immersive experience exploiting multiple microphones and loudspeakers. In the case of multichannel acoustic echo cancellation, a suitable solutions for overcoming the well-known non-uniqueness problem and an appropriate choice of the adaptive algorithm become essential to improve the audio reproduction quality. In this paper, an advanced system is proposed based on the introduction of a multichannel decorrelation solution exploiting the missing-fundamental phenomenon and a combined multiple-input multiple-output architecture updated by using the multichannel affine projection algorithm. Experimental results proved the effectiveness of the presented framework in terms of objective and subjective measures, providing a suitable solution for echo cancellation.

[1]  Danilo Comminiello,et al.  Combined adaptive beamforming techniques for noise reduction in changing environments , 2013, 2013 36th International Conference on Telecommunications and Signal Processing (TSP).

[2]  Francesco Piazza,et al.  A Combined Psychoacoustic Approach for Stereo Acoustic Echo Cancellation , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[3]  Francesco Piazza,et al.  Low-complexity implementation of a real-time decorrelation algorithm for stereophonic acoustic echo cancellation , 2012, Signal Process..

[4]  Hugo Fastl,et al.  Psychoacoustics: Facts and Models , 1990 .

[5]  Francesco Piazza,et al.  A novel decorrelation approach for multichannel system identification , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[6]  S. Geneva,et al.  Sound Quality Assessment Material: Recordings for Subjective Tests , 1988 .

[7]  Young-Cheol Park,et al.  Effective bass enhancement using second-order adaptive notch filter , 2008, IEEE Transactions on Consumer Electronics.

[8]  Samuel D. Stearns,et al.  Fundamentals of adaptive signal processing , 1987 .

[9]  Danilo Comminiello,et al.  Intelligent acoustic interfaces for immersive audio , 2013 .

[10]  Danilo Comminiello,et al.  Convex combination of MIMO filters for multichannel acoustic echo cancellation , 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

[11]  Murtaza Ali,et al.  Stereophonic acoustic echo cancellation system using time-varying all-pass filtering for signal decorrelation , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[12]  Ali H. Sayed,et al.  Mean-square performance of a convex combination of two adaptive filters , 2006, IEEE Transactions on Signal Processing.

[13]  Eweda Eweda,et al.  Comparison of RLS, LMS, and sign algorithms for tracking randomly time-varying channels , 1994, IEEE Trans. Signal Process..

[14]  Francesco Piazza,et al.  A Mixed Decorrelation Approach for Stereo Acoustic Echo Cancellation Based on the Estimation of the Fundamental Frequency , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[15]  Walter Kellermann,et al.  Acoustic Echo Cancellation for Surround Sound using Perceptually Motivated Convergence Enhancement , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[16]  Danilo Comminiello,et al.  Combined adaptive beamforming schemes for nonstationary interfering noise reduction , 2013, Signal Process..

[17]  Danilo Comminiello,et al.  Multi-stage Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals , 2011 .

[18]  William M. Hartmann,et al.  Psychoacoustics: Facts and Models , 2001 .

[19]  Jacob Benesty,et al.  A multichannel affine projection algorithm with applications to multichannel acoustic echo cancellation , 1996, IEEE Signal Processing Letters.

[20]  Jacob Benesty,et al.  A better understanding and an improved solution to the specific problems of stereophonic acoustic echo cancellation , 1998, IEEE Trans. Speech Audio Process..