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Applications of Digital Signal Processing to Audio and Acoustics

Applications of Digital Signal Processing to Audio and Acoustics PDF Author: Mark Kahrs
Publisher: Springer Science & Business Media
ISBN: 030647042X
Category : Technology & Engineering
Languages : en
Pages : 569

Book Description
Karlheinz Brandenburg and Mark Kahrs With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing. Today, the main appli cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep tual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research. The topics covered here coincide with the topics covered in the biannual work shop on “Applications of Signal Processing to Audio and Acoustics”. This event is sponsored by the IEEE Signal Processing Society (Technical Committee on Audio and Electroacoustics) and takes place at Mohonk Mountain House in New Paltz, New York. A short overview of each chapter will illustrate the wide variety of technical material presented in the chapters of this book. John Beerends: Perceptual Measurement Techniques. The advent of perceptual measurement techniques is a byproduct of the advent of digital coding for both speech and high quality audio signals. Traditional measurement schemes are bad estimates for the subjective quality after digital coding/decoding. Listening tests are subject to sta tistical uncertainties and the basic question of repeatability in a different environment.

IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics

IEEE ASSP Workshop on Applications of Signal Processing to Audio and Acoustics PDF Author:
Publisher:
ISBN:
Category : Acoustical engineering
Languages : en
Pages : 362

Book Description


Applications of Digital Signal Processing to Audio and Acoustics

Applications of Digital Signal Processing to Audio and Acoustics PDF Author: Mark Kahrs
Publisher: Springer Science & Business Media
ISBN: 030647042X
Category : Technology & Engineering
Languages : en
Pages : 569

Book Description
Karlheinz Brandenburg and Mark Kahrs With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing. Today, the main appli cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep tual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research. The topics covered here coincide with the topics covered in the biannual work shop on “Applications of Signal Processing to Audio and Acoustics”. This event is sponsored by the IEEE Signal Processing Society (Technical Committee on Audio and Electroacoustics) and takes place at Mohonk Mountain House in New Paltz, New York. A short overview of each chapter will illustrate the wide variety of technical material presented in the chapters of this book. John Beerends: Perceptual Measurement Techniques. The advent of perceptual measurement techniques is a byproduct of the advent of digital coding for both speech and high quality audio signals. Traditional measurement schemes are bad estimates for the subjective quality after digital coding/decoding. Listening tests are subject to sta tistical uncertainties and the basic question of repeatability in a different environment.

Handbook of Signal Processing in Acoustics

Handbook of Signal Processing in Acoustics PDF Author:
Publisher: Springer Science & Business Media
ISBN: 0387776982
Category :
Languages : en
Pages : 1932

Book Description


Advances in Audio and Speech Signal Processing: Technologies and Applications

Advances in Audio and Speech Signal Processing: Technologies and Applications PDF Author: Perez-Meana, Hector
Publisher: IGI Global
ISBN: 1599041340
Category : Computers
Languages : en
Pages : 462

Book Description
"This book provides a comprehensive approach of signal processing tools regarding the enhancement, recognition, and protection of speech and audio signals. It offers researchers and practitioners the information they need to develop and implement efficient signal processing algorithms in the enhancement field"--Provided by publisher.

Musical Signal Processing

Musical Signal Processing PDF Author: Curtis Roads
Publisher: Routledge
ISBN: 1134379706
Category : Music
Languages : en
Pages : 493

Book Description
Compiled by an international array of musical and technical specialists, this book deals with some of the most important topics in modern musical signal processing. Beginning with basic concepts, and leading to advanced applications, it covers such essential areas as sound synthesis (including detailed studies of physical modelling and granular synthesis) ,control signal synthesis, sound transformation (including convolution), analysis/resynthesis (phase vocodor, wavelets, analysis by chaotic functions), object-oriented and artificial intelligence representations, musical interfaces and the integration of signal processing techniques in concert performance.

Grid and Cooperative Computing. Part 2

Grid and Cooperative Computing. Part 2 PDF Author: Minglu Li
Publisher: Springer Science & Business Media
ISBN: 3540219935
Category : Computers
Languages : en
Pages : 1114

Book Description
The two-volume set LNCS 3032 and LNCS 3033 constitute the thoroughly refereed post-proceedings of the Second International Workshop on Grid and Cooperative Computing, GCC 2003, held in Shanghai, China in December 2003. The 176 full papers and 173 poster papers presented were carefully selected from a total of over 550 paper submissions during two rounds of reviewing and revision. The papers are organized in topical sections on grid applications; peer-to-peer computing; grid architectures; grid middleware and toolkits; Web security and Web services; resource management, scheduling, and monitoring; network communication and information retrieval; grid QoS; algorithms, economic models, and theoretical models of the grid; semantic grid and knowledge grid; remote data access, storage, and sharing; and computer-supported cooperative work and cooperative middleware.

1993 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

1993 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics PDF Author:
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN: 9780780320789
Category : Acoustical engineering
Languages : en
Pages : 28

Book Description


Signal Processing Methods for Music Transcription

Signal Processing Methods for Music Transcription PDF Author: Anssi Klapuri
Publisher: Springer Science & Business Media
ISBN: 0387328459
Category : Technology & Engineering
Languages : en
Pages : 443

Book Description
This book serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field. Researchers and graduate students in signal processing, computer science, acoustics and music will primarily benefit from this text. It could be used as a textbook for advanced courses in music signal processing. Since it only requires a basic knowledge of signal processing, it is accessible to undergraduate students.

Audio Source Separation and Speech Enhancement

Audio Source Separation and Speech Enhancement PDF Author: Emmanuel Vincent
Publisher: John Wiley & Sons
ISBN: 1119279887
Category : Technology & Engineering
Languages : en
Pages : 506

Book Description
Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: Consolidated perspective on audio source separation and speech enhancement. Both historical perspective and latest advances in the field, e.g. deep neural networks. Diverse disciplines: array processing, machine learning, and statistical signal processing. Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.

Independent Component Analysis for Audio and Biosignal Applications

Independent Component Analysis for Audio and Biosignal Applications PDF Author: Ganesh R. Naik
Publisher: BoD – Books on Demand
ISBN: 9535107828
Category : Medical
Languages : en
Pages : 360

Book Description
Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image processing, telecommunications, medical signal processing and several data mining issues. This book brings the state-of-the-art of some of the most important current research of ICA related to Audio and Biomedical signal processing applications. The book is partly a textbook and partly a monograph. It is a textbook because it gives a detailed introduction to ICA applications. It is simultaneously a monograph because it presents several new results, concepts and further developments, which are brought together and published in the book.