loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Voice Processors Based on the Human Hearing System
March/April 2009 (vol. 29 no. 2)
pp. 54-63
ASCII Text
x 
 
Lloyd Watts, Dana Massie, Allen Sansano, Jim Huey, "Voice Processors Based on the Human Hearing System," IEEE Micro, vol. 29, no. 2, pp. 54-63, March/April, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MM.2009.35,
author = {Lloyd Watts and Dana Massie and Allen Sansano and Jim Huey},
title = {Voice Processors Based on the Human Hearing System},
journal ={IEEE Micro},
volume = {29},
number = {2},
issn = {0272-1732},
year = {2009},
pages = {54-63},
doi = {http://doi.ieeecomputersociety.org/10.1109/MM.2009.35},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Micro
TI - Voice Processors Based on the Human Hearing System
IS - 2
SN - 0272-1732
SP54
EP63
EPD - 54-63
A1 - Lloyd Watts,
A1 - Dana Massie,
A1 - Allen Sansano,
A1 - Jim Huey,
PY - 2009
KW - noise suppression
KW - voice processors
KW - signal processing
KW - mobile computing.
VL - 29
JA - IEEE Micro
ER -
 
Lloyd Watts, Audience
Dana Massie, Audience
Allen Sansano, Audience
Jim Huey, Audience

A voice processor is a dedicated audio signal-processing chip for mobile phones and personal computers that enables high-performance noise reduction and acoustic echo cancellation for highly noisy environments. The algorithms and hardware underlying these chips' performance are based on the sophisticated operation of the human hearing system.

1. L. Watts, "Visualizing Complexity in the Brain," Computational Intelligence: The Experts Speak, D. Fogel, and C. Robinson eds., John Wiley &Sons/IEEE Press, 2003, pp. 45-56.
2. W. Kellermann,, "Beamforming for Speech and Audio Signals," Handbook of Signal Processing in Acoustics, D. Havelock, S. Kuwano, and M. Vorlander eds., Springer, 2008, pp. 691-702.
3. A.J. Bell, and T.J. Sejnowski, "An Information Maximization Approach to Blind Separation and Blind Deconvolution," Neural Computation, vol. 7, no. 6, Nov. 1995, pp. 1129-1159.
4. T. Lee, A.J. Bell, and R. Orglmeister, "Blind Source Separation of the Real World Signals," Proc. Int'l Conf. Neural Networks (ICNN), IEEE Press, 1997, pp. 2129-2134.
5. R.F. Lyon, A Signal-Processing Model of Hearing, tech. report, Xerox PARC, 1978; http://www.dicklyon.com/tech/HearingSig_Proc_Model_of_Hearing-Lyon1978.pdf .
6. M. Slaney, Lyon's Cochlear Model, tech. report No. 13, Advanced Technology Group, Apple Computer, 1988; http://cobweb.ecn.purdue.edu/~malcolm/apple/ tr13LyonsCochlea.pdf.
7. Int'l Telecomm. Union, Telecomm. Standardization Sector (ITU-T) P.835 Amendment I, Appendix III, Subjective Test Methodology for Evaluating Speech Comm. Systems that Include Noise Suppression Algorithm—Appendix III: Additional Provisions for Non-stationary Noise Suppressors, http://www.itu.int/rec/T-REC-P.835-200710-I!Amd1 en.
8. Int'l Telecomm. Union, Telecomm. Standardization Sector (ITU-T) G.160, Voice Enhancement Devices, http://www.itu.int/rec/T-REC-G.160-200806-P en.

Index Terms:
noise suppression, voice processors, signal processing, mobile computing.
Citation:
Lloyd Watts, Dana Massie, Allen Sansano, Jim Huey, "Voice Processors Based on the Human Hearing System," IEEE Micro, vol. 29, no. 2, pp. 54-63, Mar./Apr. 2009, doi:10.1109/MM.2009.35
Usage of this product signifies your acceptance of the Terms of Use.