Perception Based Data Processing In Acoustics

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Perception-Based Data Processing in Acoustics

Author : Bozena Kostek
Publisher : Springer Science & Business Media
Page : 440 pages
File Size : 52,7 Mb
Release : 2005-08-19
Category : Computers
ISBN : 3540257292

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Perception-Based Data Processing in Acoustics by Bozena Kostek Pdf

This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.

Sound - Perception - Performance

Author : Rolf Bader
Publisher : Springer Science & Business Media
Page : 393 pages
File Size : 55,6 Mb
Release : 2013-05-23
Category : Technology & Engineering
ISBN : 9783319001074

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Sound - Perception - Performance by Rolf Bader Pdf

Musical Performance covers many aspects like Musical Acoustics, Music Psychology, or motor and prosodic actions. It deals with basic concepts of the origin or music and its evolution, ranges over neurocognitive foundations, and covers computational, technological, or simulation solutions. This volume gives an overview about current research in the foundation of musical performance studies on all these levels. Recent concepts of synchronized systems, evolutionary concepts, basic understanding of performance as Gestalt patterns, theories of chill as performance goals or historical aspects are covered. The neurocognitive basis of motor action in terms of music, musical syntax, as well as therapeutic aspects are discussed. State-of-the-art applications in performance realizations, like virtual room acoustics, virtual musicians, new concepts of real-time physical modeling using complex performance data as input or sensor and gesture studies with soft- and hardware solutions are presented. So although the field is still much larger, this volume presents current trends in terms of understanding, implementing, and perceiving performance.

Three Approaches to Data Analysis

Author : Igor Chikalov,Vadim Lozin,Irina Lozina,Mikhail Moshkov,Hung Son Nguyen,Andrzej Skowron,Beata Zielosko
Publisher : Springer Science & Business Media
Page : 209 pages
File Size : 54,6 Mb
Release : 2012-07-28
Category : Technology & Engineering
ISBN : 9783642286674

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Three Approaches to Data Analysis by Igor Chikalov,Vadim Lozin,Irina Lozina,Mikhail Moshkov,Hung Son Nguyen,Andrzej Skowron,Beata Zielosko Pdf

In this book, the following three approaches to data analysis are presented: - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958, - Rough Sets, founded by Zdzisław I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982, - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected.

Advances in Feature Selection for Data and Pattern Recognition

Author : Urszula Stańczyk,Beata Zielosko,Lakhmi C. Jain
Publisher : Springer
Page : 328 pages
File Size : 40,9 Mb
Release : 2017-11-16
Category : Technology & Engineering
ISBN : 9783319675886

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Advances in Feature Selection for Data and Pattern Recognition by Urszula Stańczyk,Beata Zielosko,Lakhmi C. Jain Pdf

This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.

Nonlinearities and Synchronization in Musical Acoustics and Music Psychology

Author : Rolf Bader
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 42,6 Mb
Release : 2013-02-01
Category : Technology & Engineering
ISBN : 9783642360985

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Nonlinearities and Synchronization in Musical Acoustics and Music Psychology by Rolf Bader Pdf

This book offers an overview of models, measurements, calculations and examples connecting musical acoustics and music psychology. Indeed, many mathematical formulations that explain musical acoustics can also be used to help predict human auditory perception.

Psychoacoustic Music Sound Field Synthesis

Author : Tim Ziemer
Publisher : Springer
Page : 287 pages
File Size : 41,8 Mb
Release : 2019-08-06
Category : Technology & Engineering
ISBN : 9783030230333

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Psychoacoustic Music Sound Field Synthesis by Tim Ziemer Pdf

This book provides a broad overview of spaciousness in music theory, from mixing and performance practice, to room acoustics, psychoacoustics and audio engineering, and presents the derivation, implementation and experimental validation of a novel type of spatial audio system. Discussing the physics of musical instruments and the nature of auditory perception, the book enables readers to precisely localize synthesized musical instruments while experiencing their timbral variance and spatial breadth. Offering interdisciplinary insights for novice music enthusiasts and experts in the field of spatial audio, this book is suitable for anyone interested in the study of music and musicology and the application of spatial audio mixing, or those seeking an overview of the state of the art in applied psychoacoustics for spatial audio.

Music Data Mining

Author : Tao Li,Mitsunori Ogihara,George Tzanetakis
Publisher : CRC Press
Page : 386 pages
File Size : 44,9 Mb
Release : 2011-07-12
Category : Business & Economics
ISBN : 9781439835524

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Music Data Mining by Tao Li,Mitsunori Ogihara,George Tzanetakis Pdf

The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing. The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining. The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.

Kernel Based Algorithms for Mining Huge Data Sets

Author : Te-Ming Huang,Vojislav Kecman,Ivica Kopriva
Publisher : Springer
Page : 260 pages
File Size : 52,5 Mb
Release : 2006-05-21
Category : Computers
ISBN : 9783540316893

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Kernel Based Algorithms for Mining Huge Data Sets by Te-Ming Huang,Vojislav Kecman,Ivica Kopriva Pdf

This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

Transactions on Rough Sets IX

Author : Henryk Rybinski
Publisher : Springer
Page : 751 pages
File Size : 45,8 Mb
Release : 2008-12-18
Category : Computers
ISBN : 9783540898764

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Transactions on Rough Sets IX by Henryk Rybinski Pdf

This book is the ninth volume of the Transactions on Rough Sets series. The 26 papers in it introduce new advances in the foundations and applications of artificial intelligence, engineering, image processing, logic, mathematics, medicine, music, and science.

Handbook of Granular Computing

Author : Witold Pedrycz,Andrzej Skowron,Vladik Kreinovich
Publisher : John Wiley & Sons
Page : 1148 pages
File Size : 42,5 Mb
Release : 2008-07-31
Category : Technology & Engineering
ISBN : 9780470724156

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Handbook of Granular Computing by Witold Pedrycz,Andrzej Skowron,Vladik Kreinovich Pdf

Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

Multimedia Services in Intelligent Environments

Author : George A Tsihrintzis,Maria Virvou
Publisher : Springer Science & Business Media
Page : 324 pages
File Size : 44,6 Mb
Release : 2010-09-08
Category : Technology & Engineering
ISBN : 9783642133961

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Multimedia Services in Intelligent Environments by George A Tsihrintzis,Maria Virvou Pdf

KES International (KES) is a worldwide organisation that provides a professional community and association for researchers, originally in the discipline of Knowledge Based and Intelligent Engineering Systems, but now extending into other related areas. Through this, KES provides its members with opportunities for publication and beneficial interaction. The focus of KES is research and technology transfer in the area of Intelligent S- tems, i.e. computer-based software systems that operate in a manner analogous to the human brain, in order to perform advanced tasks. Recently KES has started to extend its area of interest to encompass the contribution that intelligent systems can make to sustainability and renewable energy, and also the knowledge transfer, innovation and enterprise agenda. Involving several thousand researchers, managers and engineers drawn from u- versities and companies world-wide, KES is in an excellent position to facilitate - ternational research co-operation and generate synergy in the area of artificial intel- gence applied to real-world ‘Smart’ systems and the underlying related theory. The KES annual conference covers a broad spectrum of intelligent systems topics and attracts several hundred delegates from a range of countries round the world. KES also organises symposia on specific technical topics, for example, Agent and Multi Agent Systems, Intelligent Decision Technologies, Intelligent Interactive M- timedia Systems and Services, Sustainability in Energy and Buildings and Innovations through Knowledge Transfer. KES is responsible for two peer-reviewed journals, the International Journal of Knowledge based and Intelligent Engineering Systems, and Intelligent Decision Technologies: an International Journal.

Machine Learning and Robot Perception

Author : Bruno Apolloni,Ashish Ghosh,Ferda Alpaslan,Srikanta Patnaik
Publisher : Springer Science & Business Media
Page : 370 pages
File Size : 51,9 Mb
Release : 2005-09-14
Category : Technology & Engineering
ISBN : 354026549X

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Machine Learning and Robot Perception by Bruno Apolloni,Ashish Ghosh,Ferda Alpaslan,Srikanta Patnaik Pdf

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam

Author : Andrzej Skowron,Zbigniew Suraj
Publisher : Springer Science & Business Media
Page : 682 pages
File Size : 46,5 Mb
Release : 2012-08-16
Category : Technology & Engineering
ISBN : 9783642303449

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Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam by Andrzej Skowron,Zbigniew Suraj Pdf

This book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being. This book prepared in two volumes contains more than 50 chapters. This demonstrates that the scientific approaches discovered by of Professor Zdzis{\l}aw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by many researchers in many places throughout the world. The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches. We are proud to offer the readers this book.

Computer Information Systems and Industrial Management

Author : Khalid Saeed,Wladyslaw Homenda
Publisher : Springer
Page : 624 pages
File Size : 52,5 Mb
Release : 2015-09-17
Category : Computers
ISBN : 9783319243696

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Computer Information Systems and Industrial Management by Khalid Saeed,Wladyslaw Homenda Pdf

This book constitutes the proceedings of the 14th IFIP TC 8 International Conference on Computer Information Systems and Industrial Management, CISIM 2015, held in Warsaw, Poland, in September 2015. The 47 papers presented in this volume were carefully reviewed and selected from about 80 submissions. The main topics covered are biometrics, security systems, multimedia, classification and clustering with applications, and industrial management.

Logical Foundations for Rule-Based Systems

Author : Antoni Ligeza
Publisher : Springer
Page : 309 pages
File Size : 51,9 Mb
Release : 2006-01-25
Category : Technology & Engineering
ISBN : 9783540324461

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Logical Foundations for Rule-Based Systems by Antoni Ligeza Pdf

Thinking in terms of facts and rules is perhaps one of the most common ways of approaching problem de?nition and problem solving both in everyday life and under more formal circumstances. The best known set of rules, the Ten Commandments have been accompanying us since the times of Moses; the Decalogue proved to be simple but powerful, concise and universal. It is logically consistent and complete. There are also many other attempts to impose rule-based regulations in almost all areas of life, including professional work, education, medical services, taxes, etc. Some most typical examples may include various codes (e.g. legal or tra?c code), regulations (especially military ones), and many systems of customary or informal rules. The universal nature of rule-based formulation of behavior or inference principles follows from the concept of rules being a simple and intuitive yet powerful concept of very high expressive power. Moreover, rules as such encode in fact functional aspects of behavior and can be used for modeling numerous phenomena.