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Automatic Musical Genre Classification Of Audio Signals

by George Tzanetakis, Georg Essl, Perry Cook - IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING , 2002
"... ... describe music. They are commonly used to structure the increasing amounts of music available in digital form on the Web and are important for music information retrieval. Genre categorization for audio has traditionally been performed manually. A particular musical genre is characterized by sta ..."
Abstract - Cited by 829 (35 self) - Add to MetaCart
set of features for representing rhythmic structure and strength is proposed. The performance of those feature sets has been evaluated by training statistical pattern recognition classifiers using real world audio collections. Based on the automatic hierarchical genre classification two graphical user

METHODS AND TECHNOLOGIES FOR DIGITAL PRESERVATION OF ANALOG AUDIO COLLECTIONS by

by Jeremy Todd Cooper, Stephanie W. Haas , 2004
"... This paper is a consideration of some of the challenges libraries and other institutions face in the digitization of analog audio collections for preservation and access. The intent of this study is to demonstrate that such an existing analog audio collection can be digitized, described, stored, and ..."
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This paper is a consideration of some of the challenges libraries and other institutions face in the digitization of analog audio collections for preservation and access. The intent of this study is to demonstrate that such an existing analog audio collection can be digitized, described, stored

SoundTorch: quick browsing in large audio collections

by Sebastian Heise, Michael Hlatky, Jörn Loviscach - In Proc. 125 th Convention of the Audio Engineering Society (2008), Paper 7544
"... The papers at this Convention have been selected on the basis of a submitted abstract and extended precis that have been peer reviewed by at least two qualified anonymous reviewers. This convention paper has been reproduced from the author’s advance manuscript, without editing, corrections, or consi ..."
Abstract - Cited by 14 (2 self) - Add to MetaCart
, or consideration by the Review Board. The AES takes no responsibility for the contents. Additional papers may be obtained by sending request and remittance to Audio

Content-based organization of digital audio collections

by Robert Neumayer, Thomas Lidy, Andreas Rauber - In Proceedings of the 5th Open Workshop of MUSICNETWORK
"... With increasing amounts of audio being stored and distributed electronically, intuitive and efficient access to large music collections is becoming crucial. To this end we are developing algorithms for audio feature extraction, allowing to compute acoustic similarity between pieces of music, as well ..."
Abstract - Cited by 7 (3 self) - Add to MetaCart
With increasing amounts of audio being stored and distributed electronically, intuitive and efficient access to large music collections is becoming crucial. To this end we are developing algorithms for audio feature extraction, allowing to compute acoustic similarity between pieces of music

Performing Query-by-Melody on Audio Collections

by Matija Marolt
"... Abstract. Mid-level representations are increasingly used to bridge the gap between high-level (semantic) and low-level audio representations. A mid-level representation that integrates melodic and rhythmic aspects of a music signal is introduced. The representation is formed by first performing mul ..."
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Abstract. Mid-level representations are increasingly used to bridge the gap between high-level (semantic) and low-level audio representations. A mid-level representation that integrates melodic and rhythmic aspects of a music signal is introduced. The representation is formed by first performing

1 A Mid-Level Representation for Melody-based Retrieval in Audio Collections

by Matija Marolt
"... Abstract — Searching audio collections using high-level musical descriptors is a difficult problem, due to the lack of reliable methods for extracting melody, harmony, rhythm, and other such descriptors from unstructured audio signals. In the paper, we present a novel approach to melody-based retrie ..."
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Abstract — Searching audio collections using high-level musical descriptors is a difficult problem, due to the lack of reliable methods for extracting melody, harmony, rhythm, and other such descriptors from unstructured audio signals. In the paper, we present a novel approach to melody

Combination of Audio and Lyrics Features for Genre Classification in Digital Audio Collections

by Rudolf Mayer, Robert Neumayer, Andreas Rauber
"... In many areas multimedia technology has made its way into mainstream. In the case of digital audio this is manifested in numerous online music stores having turned into profitable businesses. The widespread user adaption of digital audio both on home computers and mobile players show the size of thi ..."
Abstract - Cited by 10 (3 self) - Add to MetaCart
of this market. Thus, ways to automatically process and handle the growing size of private and commercial collections become increasingly important; along goes a need to make music interpretable by computers. The most obvious representation of audio files is their sound – there are, however, more ways

Systems Competition and Network Effects

by Michael L. Katz, Carl Shapiro - JOURNAL OF ECONOMIC PERSPECTIVES—VOLUME 8, NUMBER 2—SPRING 1994—PAGES 93–115 , 1994
"... Many products have little or no value in isolation, but generate value when combined with others. Examples include: nuts and bolts, which together provide fastening services; home audio or video components and programming, which together provide entertainment services; automobiles, repair parts and ..."
Abstract - Cited by 544 (6 self) - Add to MetaCart
Many products have little or no value in isolation, but generate value when combined with others. Examples include: nuts and bolts, which together provide fastening services; home audio or video components and programming, which together provide entertainment services; automobiles, repair parts

A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions

by Zhihong Zeng, Maja Pantic, Glenn I. Roisman, Thomas S. Huang , 2009
"... Automated analysis of human affective behavior has attracted increasing attention from researchers in psychology, computer science, linguistics, neuroscience, and related disciplines. However, the existing methods typically handle only deliberately displayed and exaggerated expressions of prototypi ..."
Abstract - Cited by 374 (51 self) - Add to MetaCart
of prototypical emotions, despite the fact that deliberate behavior differs in visual appearance, audio profile, and timing from spontaneously occurring behavior. To address this problem, efforts to develop algorithms that can process naturally occurring human affective behavior have recently emerged. Moreover

WHERE'S THAT SOUND? EXPLORING ARBITRARY USER CLASSIFICATIONS OF SOUNDS FOR AUDIO COLLECTION MANAGEMENT

by unknown authors
"... Collections of sound and music of increasing size and diversity are used both by general personal computer users and multimedia designers. Browsing audio collections poses several challenges to the design of effective user interfaces. In this paper, we report results from a new version of the Sonic ..."
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Collections of sound and music of increasing size and diversity are used both by general personal computer users and multimedia designers. Browsing audio collections poses several challenges to the design of effective user interfaces. In this paper, we report results from a new version of the Sonic
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