| Vol 29 No 3 | CONTENTS |
December 2001 |
Vibrate in Music
Fletcher N H
Recent developments in the Application of Neural Network Analysis to Architectural and Building Acoustics
Nannariello J, Osman M R & Fricke F R
Aeroacoustic Noise and the Motor Vehicle: Research at RMIT University,
Watkins S, Mousley P D Milbank J & Alam F
"Dodec" Speaker Construction
Patrick P
Implementation of NSW Noise Policy - An Update
Mellor G & Lahban V
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Neville H. Fletcher
Research School of Physical Sciences and Engineering
Australian National University, Canherra 0200
Vol. 29, No. 3 pp 97-102 (2001)
ABSTRACT. Vibrato, which is an oscillation in the pitch, loudness or timbre
of a musical tone, is a very important aspect of musical performance. This paper
discusses the ways in which vibrato can be analysed, and also the ways in which it can
be produced by performers on musical instruments and by singers.
Joseph Nannariello, M, Riduan Osman and Fergus R, Fricke
Department of Architectural and Design Science,
University of Sydney, NSW 2006
Vol. 29, No. 3 pp 103-110 (2001)
Abstract: This paper reviews the work undertaken in the Department of Architectural and
Design Science University of Sydney, on the use of neural network analysis in architectural
and building acoustics. In auditorium acoustics, developments include the use of neural
networks to predict acoustical attributes of concert halls: attributes such as reverberation
time, RT60, Strength factor, G, clarity factor, C80, and lateral fraction, LF
Investigations have also been undertaken relating the acoustic quality of auditoria, as
judged by conductors and musicians, to ten hall 'geometric' parameters and six acoustic
parameters. In the area of small rooms, investigations have been carried out to predict
the acoustic quality of music practice rooms and music teaching rooms by utilizing a
combination of geometric variables as inputs. In rooms used for speech, neural network
analyses have been undertaken to predict speech levels in university classrooms. Finally,
in the area of noise control in buildings, work has been carried out using neural networks
to predict the properties of acoustical materials such as sound transmission loss (wall sound
insulation) and absorption coefficients. The results of the work undertaken have shown the
potential usefulness of neural networks as design tools and significantly, that neural network
techniques have a role to play in the field of architectural and building acoustics.
Simon Watkins, Peter D, Mousley,
Juliette Milbank and Firoz Alam
Dept, of Mechanical and Manufacturing Engineering
RMIT University, Melhourne, Australia
Vol. 29, No. 3 pp 111-115 (2001)
ABSTRACT: With every new model of car, customers expect reductions in
noise and increases in refinement. Aeroacoustic noise plays a
significant role in reducing the perception of quality of a vehicle and
thus vehicle manufacturers now place a high priority on reducing this
noise. In this paper, an overview of the common aeroacoustic noise
sources in vehicles, and the research being conducted at RMIT University
to better understand and reduce aeroacoustic noise, is discussed.
Peter Patrick,
Scientific Acoustics
10 Harth St. Toowoomba 4350
Vol. 29, No. 3 pp 117-118 (2001)
If you have occasional need for a dodecahedral loudspeaker, and would build one yourself but
for the compound mitre joints involved, this process could be for you.
Geoff Mellor and Vicki Labban,
NSW Environment Protection Authority
PO Pox A290, Sydney South, NSW 1232
Vol. 29, No. 3 pp 119-121 (2001)
This is an edited version of the presentation at the NSW Divisional Meeting in August 2001.