AES Journal

Journal of the AES

2004 April - Volume 52 Number 4


President's Message (PDF-35K)  
Ron Streicher    331
Link to Distinguished Speakers Program  
Graphing, Interpretation, and Comparison of Results of Loudspeaker Nonlinear Distortion Measurements (PDF-666K)  
Alexander Voishvillo, Alexander Terekhov, Eugene Czerwinski, and Sergei Alexandrov    332
For loudspeaker nonlinearity, measurement techniques range from single-tone harmonic distortion, which is easy to interpret but not indicative of performance with music, to reactions to multitone stimuli, which are hard to interpret but highly informative. Because multitone techniques have the potential to predict the perception of nonlinearities, the authors focus on various presentation formats and analysis techniques to make the relevant information in the thousands of intermodulation products accessible and meaningful.  

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Impedance Compensation Networks for the Lossy Voice-Coil Inductance of Loudspeaker Drivers (PDF-211K)  
W. Marshall Leach, Jr.    358
The high-frequency rise in the voice-coil impedance of a loudspeaker driver produced by lossy voice-coil inductance can be approximately cancelled by a Zobel network connected in parallel. Such networks improve performance by presenting purely resistive impedance to the crossover network. Although higher order networks can be used, a pair of resistors and capacitors is sufficient for typical drivers.  

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Scalable, Content-Based Audio Identification by Multiple Independent Psychoacoustic Matching (PDF-243K)  
Geoff R. Schmidt and Matthew K. Belmonte    366
A software audio search system, as an analog to text searching, allows a target music sample to be identified by matching it to a database containing an inventory of reference samples. Rather than rely on autonomous metadata, the algorithm uses a sequence of vectors based on perceptual attributes. By iteratively testing a progression of such vectors, the algorithm has the ability to trade accuracy versus compute time. With increasing storage capacity to hold virtually unlimited quantities of audio data, an efficient search algorithm is a necessity.  

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On the Detection of Melodic Pitch in a Percussive Background (PDF-491K)  
Preeti Rao and Saurabh Shandilya    378
Although many pitch detection algorithms have been proposed over the years, the problem is particularly difficult when melodic instruments are accompanied by percussive background. The authors propose a temporal autocorrelation pitch detector motivated by an auditory model that attempts to suppress errors produced by inharmonic interfering partials of such instruments as a kick drum. Separate processing of frequency channels proved crucial in reducing the distortion products, due to the nonlinear hair-cell model, between the signal harmonics and the interfering partials.  

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AES Standards Committee News (PDF-94K)    392
New AESSC chairman; audio file interchange; audio over IEEE 1394  
25th Conference Preview, London (PDF-553K)    402
     Calendar (PDF-207K)    404
     Program (PDF-58K)    405
     Registration Form (PDF-29K)    411
Historical Perspectives and Technology Overview of Loudspeakers for Sound Reinforcement (PDF-1.0MB)  
J. Eargle and M. Gander    412
DSP in Loudspeakers (PDF-553K)    434
Surround Live Summary (PDF-321K)  
Frederick Ampel    440
26th Conference, Baarn, Call for Papers (PDF-38K)    457
Review of Acoustical Patents (PDF-257K)    395
News of the Sections (PDF-108K)    443
Upcoming Meetings (PDF-38K)    447
Sound Track (PDF-49K)    448
New Products and Developments (PDF-63K)    449
Available Literature (PDF-33K)    450
Membership Information (PDF-321K)    451
Advertiser Internet Directory (PDF-282K)    453
In Memoriam (PDF-44K)    456
Sections Contacts Directory (PDF-70K)    458
AES Conventions and Conferences (PDF-121K)    464
Cover & Sustaining Members List (PDF-84K)    
VIP List & Editorial Staff (PDF-68K)    
AES - Audio Engineering Society