Content Based Audio Classification And Retrieval

Download Content Based Audio Classification And Retrieval full books in PDF, epub, and Kindle. Read online Content Based Audio Classification And Retrieval ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing

Author : Tong Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 1475733399
Total Pages : 145 pages
Book Rating : 4.4/5 (757 download)

DOWNLOAD NOW!

Book Synopsis Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing by : Tong Zhang

Download or read book Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing written by Tong Zhang and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing is an up-to-date overview of audio and video content analysis. Included is extensive treatment of audiovisual data segmentation, indexing and retrieval based on multimodal media content analysis, and content-based management of audio data. In addition to the commonly studied audio types such as speech and music, the authors have included hybrid types of sounds that contain more than one kind of audio component such as speech or environmental sound with music in the background. Emphasis is also placed on semantic-level identification and classification of environmental sounds. The authors introduce a new generic audio retrieval system on top of the audio archiving schemes. Both theoretical analysis and implementation issues are presented. The developing MPEG-7 standards are explored. Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing will be especially useful to researchers and graduate level students designing and developing fully functional audiovisual systems for audio/video content parsing of multimedia streams.

Content-based Audio Classification and Retrieval

Author : Ming Chun Liu
Publisher :
ISBN 13 :
Total Pages : 173 pages
Book Rating : 4.:/5 (612 download)

DOWNLOAD NOW!

Book Synopsis Content-based Audio Classification and Retrieval by : Ming Chun Liu

Download or read book Content-based Audio Classification and Retrieval written by Ming Chun Liu and published by . This book was released on 2005 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Computer Communication and Computational Sciences

Author : Sanjiv K. Bhatia
Publisher : Springer
ISBN 13 : 9811368619
Total Pages : 753 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Advances in Computer Communication and Computational Sciences by : Sanjiv K. Bhatia

Download or read book Advances in Computer Communication and Computational Sciences written by Sanjiv K. Bhatia and published by Springer. This book was released on 2019-05-21 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes key insights that reflect ‘Advances in Computer and Computational Sciences’ from upcoming researchers and leading academics around the globe. It gathers high-quality, peer-reviewed papers presented at the International Conference on Computer, Communication and Computational Sciences (IC4S 2018), which was held on 20-21 October, 2018 in Bangkok. The book covers a broad range of topics, including intelligent hardware and software design, advanced communications, intelligent computing techniques, intelligent image processing, and web and informatics. Its goal is to familiarize readers from the computer industry and academia with the latest advances in next-generation computer and communication technology, which they can subsequently integrate into real-world applications.

Multimedia Content Analysis and Mining

Author : Nicu Sebe
Publisher : Springer
ISBN 13 : 3540734171
Total Pages : 526 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Multimedia Content Analysis and Mining by : Nicu Sebe

Download or read book Multimedia Content Analysis and Mining written by Nicu Sebe and published by Springer. This book was released on 2007-07-10 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prominent international experts came together to present and debate the latest findings in the field at the 2007 International Workshop on Multimedia Content Analysis and Mining. This volume includes forty-six papers from the workshop as well as thirteen invited papers. The papers cover a wide range of cutting-edge issues, including all aspects of multimedia in the fields of entertainment, commerce, science, medicine, and public safety.

Algorithms in Ambient Intelligence

Author : W. Verhaegh
Publisher : Springer Science & Business Media
ISBN 13 : 9781402017575
Total Pages : 368 pages
Book Rating : 4.0/5 (175 download)

DOWNLOAD NOW!

Book Synopsis Algorithms in Ambient Intelligence by : W. Verhaegh

Download or read book Algorithms in Ambient Intelligence written by W. Verhaegh and published by Springer Science & Business Media. This book was released on 2004 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the outcome of a series of discussions at the Philips Symposium on Intelligent Algorithms, which was held in Eindhoven on December 2002. It contains many exciting and practical examples from this newly developing research field, which can be positioned at the intersection of computer science, discrete mathematics, and artificial intelligence. The examples include machine learning, content management, vision, speech, content augmentation, profiling, music retrieval, feature extraction, audio and video fingerprinting, resource management, multimedia servers, network scheduling, and IC design.

MPEG-7 Audio and Beyond

Author : Hyoung-Gook Kim
Publisher : John Wiley & Sons
ISBN 13 : 0470093358
Total Pages : 304 pages
Book Rating : 4.4/5 (7 download)

DOWNLOAD NOW!

Book Synopsis MPEG-7 Audio and Beyond by : Hyoung-Gook Kim

Download or read book MPEG-7 Audio and Beyond written by Hyoung-Gook Kim and published by John Wiley & Sons. This book was released on 2006-02-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in technology, such as MP3 players, the Internet and DVDs, have led to the production, storage and distribution of a wealth of audio signals, including speech, music and more general sound signals and their combinations. MPEG-7 audio tools were created to enable the navigation of this data, by providing an established framework for effective multimedia management. MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval is a unique insight into the technology, covering the following topics: the fundamentals of MPEG-7 audio, principally low-level descriptors and sound classification and similarity; spoken content description, and timbre, melody and tempo music description tools; existing MPEG-7 applications and those currently being developed; examples of audio technology beyond the scope of MPEG-7. Essential reading for practising electronic and communications engineers designing and implementing MPEG-7 compliant systems, this book will also be a useful reference for researchers and graduate students working with multimedia database technology.

Music Retrieval

Author : Nicola Orio
Publisher : Now Publishers Inc
ISBN 13 : 1933019395
Total Pages : 106 pages
Book Rating : 4.9/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Music Retrieval by : Nicola Orio

Download or read book Music Retrieval written by Nicola Orio and published by Now Publishers Inc. This book was released on 2006 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Music Accessing and Retrieval is the first comprehensive survey of the vast new field of Music Information Retrieval (MIR). It describes a number of issues which are peculiar to the language of music - including forms, formats, and dimensions of music - together with the typologies of users and their information needs. To fulfil these needs a number of approaches are discussed, from direct search to information filtering and clustering of music documents. The emphasis is on tools, techniques, and approaches for content-based MIR, rather than on the systems that implement them. The interested reader can, however, find descriptions of more than 35 systems for music retrieval with links to their Web sites. Music Accessing and Retrieval can be used as both a guide for beginners who are embarking on research in this relatively new area, and a useful reference for established researchers in this field.

Automatic Classification and Indexing of Audio Broadcast Data

Author : P. Dhanalakshmi
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

DOWNLOAD NOW!

Book Synopsis Automatic Classification and Indexing of Audio Broadcast Data by : P. Dhanalakshmi

Download or read book Automatic Classification and Indexing of Audio Broadcast Data written by P. Dhanalakshmi and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Audio classification has been a focus area in the research of audio processing and pattern recognition. Automatic audio classification is very useful to audio indexing, content-based audio retrieval and online audio distribution, but the extraction of the most common and salient themes from unstructured raw audio data is a major challenge. The paper presents effective algorithms to automatically classify audio clips into one of the six classes: music, news, sports, advertisement, cartoon and movie. For these categories, a number of acoustic features that include linear predictive coefficients (LPC), linear predictive cepstral coefficients (LPCC) and Mel frequency cepstral coefficients (MFCC) are extracted to characterize the audio content. The auto associative neural network model (AANN) is used to capture the distribution of the acoustic feature vectors. The AANN model captures the distribution of the acoustic features of a class, and the back propagation learning algorithm is used to adjust the weights of the network to minimize the mean square error for each feature vector. This work also proposes an efficient audio indexing system which indexes movie clips using K-means clustering algorithm. Experimental results indicate that the proposed algorithms can produce satisfactory results.

Handbook of Multimedia Information Retrieval

Author : Horst Eidenberger
Publisher : Books on Demand
ISBN 13 : 9783848222834
Total Pages : 660 pages
Book Rating : 4.2/5 (228 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Multimedia Information Retrieval by : Horst Eidenberger

Download or read book Handbook of Multimedia Information Retrieval written by Horst Eidenberger and published by Books on Demand. This book was released on 2012 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimedia information retrieval: That is the desire to make computers see, hear and understand like humans do. Is it possible to give perception to machines, to make them understand facial expressions, hummed melodies, stock charts and ECG curves? If yes, the computer would become an even more valuable companion in business and private life. Think of the possibilities in, for example, healthcare, home security, online customer support or market analysis. This book explains what is possible in multimedia information retrieval today and what is not. We introduce the basic concepts, explain why the first step is always summarization and the second classification, which is essentially applying human understanding of some context on the summary. We group and discuss the various methods that have been proposed for the summarization of audio, visual and other media information. In classification, we build on today's psychological understanding of human cognition. Successfully, we transfer concepts of human similarity perception on machine classification. We cluster machine learning methods by their approach, model and process. On top of that, we link back from the state of the art methods of multimedia information retrieval to human cognition: We propose artificial neural structures for the building blocks of media summarization and classification. The result is a balanced introduction into the field that starts from graduate IT knowledge and ends at the current frontiers of multimedia research.

Professional Media Understanding

Author : Horst Eidenberger
Publisher : Books on Demand
ISBN 13 : 9783844808308
Total Pages : 256 pages
Book Rating : 4.8/5 (83 download)

DOWNLOAD NOW!

Book Synopsis Professional Media Understanding by : Horst Eidenberger

Download or read book Professional Media Understanding written by Horst Eidenberger and published by Books on Demand. This book was released on 2012 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Media understanding is the science/art of identifying semantic structures in digital media objects such as audio, biosignals, images, text and videos. This volume continues the work started in "Fundamental Media Understanding" (atpress, 2011). It covers methods employed in professional multimedia information retrieval such as audiovisual feature transformations based on discrete transforms, wavelet transforms, local interest points methods such as SIFT and MSER, flow-based motion description, information filtering by singular value decomposition, feature selection, principles of human learning and machine learning, categorization by risk minimization and kernel-based learning, dynamic optimization, mixture models, and evaluation based on cross validation and receiver operating characteristic curves. In contrast to related publications, this book does not focus on one type of media but considers all the above-named as well as a few others. The author endeavors to identify similarities between the methods employed in audio retrieval, image understanding, text summarization and many other research domains. It turns out that a number of significant parallels do exist. Structuring the methods along common criteria and discussing their similarities and differences breaks the ground for a new research discipline: true computational understanding of multimedia content.

Frontiers of Media Understanding

Author : Horst Eidenberger
Publisher :
ISBN 13 : 9783848210923
Total Pages : 246 pages
Book Rating : 4.2/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Frontiers of Media Understanding by : Horst Eidenberger

Download or read book Frontiers of Media Understanding written by Horst Eidenberger and published by . This book was released on 2012 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Media understanding is the science/art of identifying semantic structures in digital media objects such as audio, biosignals, images, text and videos. Computational media understanding should do what our senses and cognition do: immediate understanding of events as diverse as watching a bird and listening to a speech. This book introduces the reader with the state-of-the-art methods applied today for media summarization and for the categorization of events. In contrast to related publications, it does not focus on one type of media but considers all the above-named as well as a few others. The author endeavors to identify similarities between the methods employed in audio retrieval, image understanding, text summarization and many other research domains. It turns out that a number of significant parallels do exist. Structuring the methods along common criteria and discussing their similarities and differences breaks the ground for a new research discipline: true computational understanding of multimedia content.

Music Similarity and Retrieval

Author : Peter Knees
Publisher : Springer
ISBN 13 : 3662497220
Total Pages : 313 pages
Book Rating : 4.6/5 (624 download)

DOWNLOAD NOW!

Book Synopsis Music Similarity and Retrieval by : Peter Knees

Download or read book Music Similarity and Retrieval written by Peter Knees and published by Springer. This book was released on 2016-05-28 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a summary of the manifold audio- and web-based approaches to music information retrieval (MIR) research. In contrast to other books dealing solely with music signal processing, it addresses additional cultural and listener-centric aspects and thus provides a more holistic view. Consequently, the text includes methods operating on features extracted directly from the audio signal, as well as methods operating on features extracted from contextual information, either the cultural context of music as represented on the web or the user and usage context of music. Following the prevalent document-centered paradigm of information retrieval, the book addresses models of music similarity that extract computational features to describe an entity that represents music on any level (e.g., song, album, or artist), and methods to calculate the similarity between them. While this perspective and the representations discussed cannot describe all musical dimensions, they enable us to effectively find music of similar qualities by providing abstract summarizations of musical artifacts from different modalities. The text at hand provides a comprehensive and accessible introduction to the topics of music search, retrieval, and recommendation from an academic perspective. It will not only allow those new to the field to quickly access MIR from an information retrieval point of view but also raise awareness for the developments of the music domain within the greater IR community. In this regard, Part I deals with content-based MIR, in particular the extraction of features from the music signal and similarity calculation for content-based retrieval. Part II subsequently addresses MIR methods that make use of the digitally accessible cultural context of music. Part III addresses methods of collaborative filtering and user-aware and multi-modal retrieval, while Part IV explores current and future applications of music retrieval and recommendation.>

Fundamental Media Understanding

Author : Horst Eidenberger
Publisher :
ISBN 13 : 9783842379176
Total Pages : 240 pages
Book Rating : 4.3/5 (791 download)

DOWNLOAD NOW!

Book Synopsis Fundamental Media Understanding by : Horst Eidenberger

Download or read book Fundamental Media Understanding written by Horst Eidenberger and published by . This book was released on 2011 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Media understanding is the science/art of identifying semantic structures in digital media objects such as audio, biosignals, images, text and videos. Computational media understanding should do what our senses and cognition do: immediate understanding of events as diverse as watching a bird and listening to a speech. This book introduces the reader with the state-of-the-art methods applied today for media summarization and for the categorization of events. In contrast to related publications, it does not focus on one type of media but considers all the above-named as well as a few others. The author endeavors to identify similarities between the methods employed in audio retrieval, image understanding, text summarization and many other research domains. It turns out that a number of significant parallels do exist. Structuring the methods along common criteria and discussing their similarities and differences breaks the ground for a new research discipline: true computational understanding of multimedia content.

Information Retrieval for Music and Motion

Author : Meinard Müller
Publisher : Springer Science & Business Media
ISBN 13 : 3540740481
Total Pages : 319 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Information Retrieval for Music and Motion by : Meinard Müller

Download or read book Information Retrieval for Music and Motion written by Meinard Müller and published by Springer Science & Business Media. This book was released on 2007-09-09 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization.

Fundamentals of Music Processing

Author : Meinard Müller
Publisher : Springer
ISBN 13 : 3319219456
Total Pages : 509 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Fundamentals of Music Processing by : Meinard Müller

Download or read book Fundamentals of Music Processing written by Meinard Müller and published by Springer. This book was released on 2015-07-21 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses—in a mathematically rigorous way—important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.

Real-time Speech and Music Classification by Large Audio Feature Space Extraction

Author : Florian Eyben
Publisher : Springer
ISBN 13 : 3319272993
Total Pages : 328 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Real-time Speech and Music Classification by Large Audio Feature Space Extraction by : Florian Eyben

Download or read book Real-time Speech and Music Classification by Large Audio Feature Space Extraction written by Florian Eyben and published by Springer. This book was released on 2015-12-24 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework called openSMILE, which has been accepted and intensively used worldwide. The book offers extensive descriptions of key methods for the automatic classification of speech and music signals in real-life conditions and reports on the evaluation of the framework developed and the acoustic parameter sets that were selected. It is not only intended as a manual for openSMILE users, but also and primarily as a guide and source of inspiration for students and scientists involved in the design of speech and music analysis methods that can robustly handle real-life conditions.

An Introduction to Audio Content Analysis

Author : Alexander Lerch
Publisher : John Wiley & Sons
ISBN 13 : 1119890942
Total Pages : 467 pages
Book Rating : 4.1/5 (198 download)

DOWNLOAD NOW!

Book Synopsis An Introduction to Audio Content Analysis by : Alexander Lerch

Download or read book An Introduction to Audio Content Analysis written by Alexander Lerch and published by John Wiley & Sons. This book was released on 2022-12-08 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics automatically. A multitude of audio content analysis tasks related to the extraction of tonal, temporal, timbral, and intensity-related characteristics of the music signal are presented. Each task is introduced from both a musical and a technical perspective, detailing the algorithmic approach as well as providing practical guidance on implementation details and evaluation. To aid in reader comprehension, each task description begins with a short introduction to the most important musical and perceptual characteristics of the covered topic, followed by a detailed algorithmic model and its evaluation, and concluded with questions and exercises. For the interested reader, updated supplemental materials are provided via an accompanying website. Written by a well-known expert in the music industry, sample topics covered in Introduction to Audio Content Analysis include: Digital audio signals and their representation, common time-frequency transforms, audio features Pitch and fundamental frequency detection, key and chord Representation of dynamics in music and intensity-related features Beat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignment Audio fingerprinting, musical genre, mood, and instrument classification An invaluable guide for newcomers to audio signal processing and industry experts alike, An Introduction to Audio Content Analysis covers a wide range of introductory topics pertaining to music information retrieval and machine listening, allowing students and researchers to quickly gain core holistic knowledge in audio analysis and dig deeper into specific aspects of the field with the help of a large amount of references.