Hierarchical Sound Classification using Mpeg-7

Crysandt, Holger

doi:10.1109/mmsp.2005.248606

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…At first, MPEG-7 feature extraction output is generated automatically for that particular music file using MPEG-7 Feature Extraction Tool. A freeware MPEG-7 audio encoder tool (Crysandt, 2005) was utilized to generate MPEG-7 XML output from the music file. Secondly, MPEG-7 datatype values were extracted from that XML output using the custom built XML Data Source Processor.…”

Section: Lifting Mpeg-7 Metadatamentioning

confidence: 99%

“…Use ofMPEG-7 audio based standardized acoustic metadata: The MPEG-7 Audio metadata generated by automated tools (e.g. Crysandt, 2005) are not suitable for annotation by ordinary music users (both producers and consumers). The proposed semantic annotation tool will enable music producers to generate semantic metadata that will provide automatic mapping of the MPEG-7 acoustic features with end-users metadata.…”

Section: Introductionmentioning

confidence: 99%

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Semi-automatic Semantic Annotation Tool for Digital Music

Rahman

Siddiqi

2011

Electronic Workshops in Computing

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The Worldwide Web/Internet has changed the music industry by making huge amount of music available to both music publishers and consumers including ordinary listeners or end users. The Web2.0 tagging techniques of music items by artist name, album title, musical style or genre (technically these are termed as syntactic metadata) have given rise to the generation unstructured free form vocabularies. Music search based on these syntactic metadata requires the search query to contain at least one keyword from that vocabulary and it must be an exact match. The semantic Web initiative by W3C proposes machine process-able representation of information but does not stipulate how that can be applied to music items specifically. In this paper we present a novel approach that details a semi-automatic semantic annotation tool to enable music producers to generate music metadata through a mapping between music consumers' free form tags and the acoustic metadata that are automatically extractable from music audio. The proposed annotation tool enables onotology guided annotation process and uses MPEG-7 Audio compliant music annotation ontology represented in dominant semantic web standard OWL 1.0.

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Section: Lifting Mpeg-7 Metadatamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%