NDLI: DIGITAL COMMUNICATION IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF (2006)

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DIGITAL COMMUNICATION IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF (2006)

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 exploitation. Automatic music structural analysis is a specific subset of audio content analysis with its main task to discover the structure of music by analyzing audio signals to facilitate better handling of the current explosively expanding amounts of audio data available in digital collections. In this dissertation, we focus our investigation on four areas that are part of audio-based music structural analysis. First, we propose a unique framework and method for temporal audio segmentation at the semantic level. The system aims to detect structural changes in music to provide a way of separating the different “sections ” of a piece according to their structural titles (i.e. intro, verse, chorus, bridge). We present a two-phase music segmentation system together with a combined set of low-level audio descriptors to be extracted from music audio signals. Two different databases are used for the evaluation of our approach on a mainstream popular music collection. The experiment results demonstrate that our algorithm achieves 72 % accuracy and 79 % reliability in a practical application for identifying structural boundaries in music audio signals.
File Format	PDF
Publisher Date	2006-01-01
Access Restriction	Open
Subject Keyword	Experiment Result Different Database Structural Change General Research Area Low-level Audio Descriptor Digital Audio Signal Audio-based Music Structural Analysis Structural Title Audio Signal Practical Application Combined Set Different Section Specific Subset Computer System Audio Content Analysis Digital Communication Partial Fulfillment Digital Collection Audio Data Temporal Audio Segmentation Unique Framework Two-phase Music Segmentation System Structural Boundary Music Audio Signal Main Task Mainstream Popular Music Collection Automatic Music Structural Analysis Semantic Level Automatic Audio Content Analysis
Content Type	Text
Resource Type	Thesis

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