NDLI: ABSTRACT Towards Automatic Music Structural Analysis: Identifying Characteristic Within-Song Excerpts in Popular Music (2005)

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ABSTRACT Towards Automatic Music Structural Analysis: Identifying Characteristic Within-Song Excerpts in Popular Music (2005)

Content Provider	CiteSeerX
Abstract	Automatic audio content analysis is a general research area in which algorithms are developed to allow computer systems to understand the content of digital audio signals for further exploitations. The main focus therein is on the practical applications for audio files management, like automatic labeling, efficient browsing, or the retrieval of relevant files with little effort from a big database. Automatic music structural analysis is a specific subset of audio content analysis in which the domain of audio content is restricted to the semantically meaningful descriptions of audio in a musical context. The main task of automatic music structural analysis is to discover the structure of music by analyzing audio signals in order to facilitate a better handling of the current explosively expanding amounts of audio data available in digital collections. In this research work, we focus our investigation on two areas that are part of audiobased music structural analysis. First, we propose a unique framework and method for temporal audio segmentation at the semantic level. The system aims to detect the structural changes in music to provide a way to separate the different “sections ” of a
File Format	PDF
Publisher Date	2005-01-01
Access Restriction	Open
Subject Keyword	Identifying Characteristic Within-song Excerpt Popular Music Automatic Music Structural Analysis Audio File Management Structural Change Specific Subset Audio Content Audio Content Analysis Relevant File General Research Area Audio Signal Main Focus Therein Different Section Practical Application Computer System Musical Context Temporal Audio Segmentation Main Task Efficient Browsing Semantic Level Unique Framework Big Database Digital Collection Audio Data Audiobased Music Structural Analysis Digital Audio Signal Automatic Labeling Meaningful Description Research Work Little Effort Automatic Audio Content Analysis
Content Type	Text

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