PROGRAM
8th
WSEAS International Conference on
ACOUSTICS & MUSIC: THEORY & APPLICATIONS
(AMTA '07)
Vancouver, Canada, June 19-21, 2007
Wednesday, June 20 2007
PLENARY LECTURE 5
3D-Auralization of Music
Assistant Professor Lamberto Tronchin
DIENCA - CIARM
University of Bologna, Italy
Abstract: The definition and measurement of sound spatialisation have been strongly enhanced in last years, as nowadays spatialisation is considered quite important during design of auditoria and virtual audio reproduction of sound quality in dedicated listening rooms for 3D reproduction purposes. Even though international standards like ISO 3382 require measuring some spatial parameters (i.e. LE, LF, IACC), usually only binaural measurements are performed, by means of a dummy head, and rarely 3D impulse responses are measured and utilised for sound reproduction.
In this paper, after an overview on the most common techniques utilised for 3D auralization, an innovative procedure of measuring and reproducing spatial sound characteristics is presented. The application of this new technique in virtual 3D sound reconstruction is presented. Furthermore, the methodology is compared with other techniques of 3D sound reproduction. Moreover, the results of a wide campaign of measurements of spatial parameters among different auditoria all over the world, ranging from Italy to Japan and Australia, and conducted with the novel methodology, are compared with the results of standard binaural and 3D measurements. The possibility to enhance the spatial reproduction of sound quality in real spaces and the comprehensibility of spatial parameters is finally considered and presented in different cases.
PLENARY LECTURE 6
General Problems of Sampling-Reconstruction Procedure of Random Processes with the Limited Number of Samples
Professor Vladimir Kazakov
Department of Telecommunications of
the School of
Mechanical and Electrical Engineering
National Polytechnic Institute of Mexico
U. Zacatenco, C.P. 07738
Mexico City, MEXICO
Abstract: Some critical observations are given about Balakrishnan's theorem. We prove that this theorem is only valid for Gaussian processes with the infinite number of samples. The general case of the Sampling-Reconstruction Procedure (SRP) of random processes with an arbitrary number of samples is presented on the basis of the conditional mean rule. This rule provides the minimum reconstruction error. This rule is valid for processes with an arbitrary probability density functions. Using this rule we obtain two principal statistical characteristics of any SRP: the reconstruction function and the error reconstruction function. There is the detail consideration of Gaussian processes SRP. The basic functions are linear functions of samples. There are some results about SRP of multidimensional Gaussian processes. The influence of number of samples, the covariance function, the location of samples on the principal SRP characteristics is demonstrated in many examples. The Markov and non Markov models are considered. The cases of the stationary and non stationary processes are investigated. The SRP of some non Gaussian processes of usual types (with Rayleigh, gamma, etc. distributions) is given. The optimal reconstruction functions are no linear functions of samples here. We investigate the SRP of non Gaussian processes at the output of many non linear non inertial converters when the Gaussian processes are in their inputs. With the same methodology we describe the SRP of Gaussian fields when the samples are located in the radial, spiral, triangular, rectangular, pentagonal and arbitrary manner. There are special cases of SRP of random processes with jumps. We consider the SRP of binary Markov process, the SRP of Markov chains with continuous time and with an arbitrary number of states (this result is not published). Finally we discuss the statistical problem of the SRP description of many above mentioned processes with jitter on the basis of our jitter model as the random variable with the beta distribution (some results are not published).
PLENARY LECTURE 7
Sub-Molecular Systems Analysis: Patterns, Structure, Phylogeny and Functionality
Professor David K.Y. Chiu
Department of Computing & Information Science
and Biophysics Interdepartmental Group
University of Guelph, Canada
Abstract: Systems analysis when applied to biomolecular data focuses on how different components interact in a complex manner. This talk describes some methods developed to reconstruct the relationship between sub-molecular attributes and other attributes such as molecular structural characteristics, phylogenetic associations and genetic functionality. High-order patterns from sub-molecular data are sets of multiple associated values discovered which can relate to other phenotypical data from diverse sources. This talk will discuss experiments using microbial genomes, multiple alignments of model molecules such as transfer RNA, p53 cancer suppressor, cytochrome c, lysozyme and the SH3 domains. It illustrates how the proposed methods can be useful in detecting attributes in suggesting a descriptive partial model for 2D/3D molecular structure, genome organization, cancer factors, core and binding molecular sites, and gene ontology patterns.
PLENARY LECTURE 8
A Holistic View of
Business Intelligence
Professor Zeljko Panian
Faculty of Economics and Business
University of Zagreb
Croatia
Abstract: Enterprises should generate their business intelligence (BI) from data captured from each and every source available. Generally taken, there are two main classes of these sources – internal and external sources.
External sources are related to markets on which the enterprise appears and operates, and data captured from these sources can serve as a means for the market intelligence development. On the other hand, there are many internal sources of data that can be used to generate internal enterprise intelligence. They relate primarily to business processes and management issues.
The holistic view of business intelligence suggests that both types of business intelligence – market intelligence as well as internal enterprise intelligence – should be taken into account. To put it more precisely, five key constituents of business intelligence should be considered when planning the development or upgrade of the business intelligence system:
• Customer intelligence, competitive intelligence and value chain intelligence, as the building blocks of the market intelligence, and
• Management intelligence and business process intelligence, as parts of the internal enterprise intelligence.
Features and interactions of all these five BI constituents will be discussed.
SESSION: Acoustics & Music I
Chair: Richard Willgoss, Lamberto Tronchin
Discernment of the Sound of a Violin |
Richard Willgoss, Robert Walker |
|
Influence of auralization methodology of musical pieces in the subjective evaluation |
Lamberto Tronchin, Ryota Shimokura, Valerio Tarabusi, Ilaria Durvilli |
|
Pitch estimation for musical sound including percussion sound using comb filters and autocorrelation function |
Yoshiaki Tadokoro, Tsutomu Saito, Yusuke Suga and Masanori Natsui |
|
Spatialization and Timbre for Effective Auditory Graphing |
Hong Jun Song, Kirsty Beilharz |
SESSION: Acoustics & Music II
Chair: Lamberto Tronchin, Shabbir Majeed Chaudhry
Nonlinear acoustical properties in aqueous biomaterials |
Omprakash Chimankar,Vilas Tabhane,G.Baghel |
|
A review of transduction techniques used in acoustics echo cancellation |
Shabbir Majeed Chaudhry , Farhat Abbas, Yasar Amin, Alina Majeed Chaudhry,Habibullah Jamal |
|
Implementing a New Architecture of Wavelet Packet Transform on FPGA |
Mohsen Amiri Farahani, Mohammad Eshghi |
Thursday, June 21 2007
SESSION: Acoustics & Music III
Chair: Shabbir Majeed Chaudhry, Richard Willgoss
Sampling Rate Impact on the Performance of a Head-Related Impulse Response Decomposition Method |
Kenneth John Faller II, Armando Barreto |
|
An algorithm for realtime high resolution octave analysis based on multirate signal processing theory |
Cheng Jin, Zhangwei Chen, Fengchun Gao |