On the perceptual performance limitations of echo cancellers in wideband telephony

In this paper, standard echo canceller performance measures are evaluated in terms of psychoacoustic aspects of human hearing. The focus is on wideband speech communications systems with long round-trip delays of 200 ms and up present in the transmission path. The results of a simple acoustic echo cancellation experiment are analyzed with a standard psychoacoustic model, revealing that steady-state echo return loss enhancement and mean square error cannot be used to determine whether residual echo is perceivable in the presence of background noise. In addition, a simple modification to the normalized least mean square (NLMS) algorithm is introduced by adding a perceptual preemphasis filter. Simulation results and listening tests show that it is possible to improve the perceived performance of an echo canceller during convergence by placing greater emphasis on frequencies at which the human auditory system is most sensitive.

[1]  Dennis R. Morgan Slow asymptotic convergence of LMS acoustic echo cancelers , 1995, IEEE Trans. Speech Audio Process..

[2]  Rafik Goubran,et al.  Steady-state performance limitations of full-band acoustic echo cancellers , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[3]  Jonathan G. Fiscus,et al.  Darpa Timit Acoustic-Phonetic Continuous Speech Corpus CD-ROM {TIMIT} | NIST , 1993 .

[4]  Guido M. Schuster,et al.  Real-time voice over packet-switched networks , 1998, IEEE Netw..

[5]  A. Spanias,et al.  Perceptual coding of digital audio , 2000, Proceedings of the IEEE.

[6]  T. Aboulnasr,et al.  A study of adaptive intersubband tap assignment algorithms from a psychoacoustic point of view , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

[7]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

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

[9]  R. Frenzel,et al.  Using prewhitening and stepsize control to improve the performance of the LMS algorithm for acoustic echo compensation , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

[10]  Nathalie Virag,et al.  Single channel speech enhancement based on masking properties of the human auditory system , 1999, IEEE Trans. Speech Audio Process..

[11]  James D. Johnston,et al.  Transform coding of audio signals using perceptual noise criteria , 1988, IEEE J. Sel. Areas Commun..

[12]  Ron Appel,et al.  On the Quality of Hearing One's Own Voice , 2002 .

[13]  Donald L. Duttweiler,et al.  A Twelve-Channel Digital Echo Canceler , 1978, IEEE Trans. Commun..

[14]  Peter Jax,et al.  A psychoacoustic approach to combined acoustic echo cancellation and noise reduction , 2002, IEEE Trans. Speech Audio Process..

[15]  Simon Haykin,et al.  Adaptive filter theory (2nd ed.) , 1991 .

[16]  Gerhard Schmidt,et al.  Acoustic echo control. An application of very-high-order adaptive filters , 1999, IEEE Signal Process. Mag..

[17]  Rafik A. Goubran,et al.  A combined LPC-based speech coder and filtered-X LMS algorithm for acoustic echo cancellation , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[18]  Soung Chang Liew,et al.  Solutions to performance problems in VoIP over a 802.11 wireless LAN , 2005, IEEE Transactions on Vehicular Technology.

[19]  Eberhard Hänsler,et al.  The hands-free telephone problem- An annotated bibliography , 1992, Signal Process..

[20]  Benoît Champagne,et al.  A centralized acoustic echo canceller exploiting masking properties of the human ear , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..