Sound Re-Synthesis From Rhythm Pattern Features - Audible Insight into a Music Feature Extraction Process

Sound Re-Synthesis From Rhythm Pattern Features - Audible Insight into a Music Feature Extraction Process (2005)

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by Thomas Lidy , Georg Pölzlbauer , Andreas Rauber

Venue:	In Proceedings of the International Computer Music Conference (ICMC
Citations:	8 - 3 self

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Datum	Value	Source
TITLE	Sound Re-Synthesis From Rhythm Pattern Features - Audible Insight into a Music Feature Extraction Process	user correction - Legacy Corrections
AUTHOR NAME	Thomas Lidy	SVM HeaderParse 0.2
AUTHOR AFFIL	Vienna University of Technology; Department of Software Technology and Interactive Systems	SVM HeaderParse 0.2
AUTHOR ADDR	Vienna, Austria	SVM HeaderParse 0.2
AUTHOR NAME	Georg Pölzlbauer	SVM HeaderParse 0.2
AUTHOR AFFIL	Vienna University of Technology; Department of Software Technology and Interactive Systems	SVM HeaderParse 0.2
AUTHOR ADDR	Vienna, Austria	SVM HeaderParse 0.2
AUTHOR NAME	Andreas Rauber	SVM HeaderParse 0.2
AUTHOR AFFIL	Vienna University of Technology; Department of Software Technology and Interactive Systems	SVM HeaderParse 0.2
AUTHOR ADDR	Vienna, Austria	SVM HeaderParse 0.2
ABSTRACT	For tasks like musical genre identification and similarity searches in audio databases, audio files have to be described by suitable feature sets. Since these feature sets usually try to capture diverse discriminative characteristics, it is interesting and desirable to create an acoustic representation of the feature set to support intuitive evaluation. In this paper, we present an approach for making a specific feature set, namely Rhythm Patterns, instantly human comprehensible by re-assembling sound from the numerical descriptors. The re-synthesized audio chunks represent clearly perceivable rhythmical characteristics on critical frequency bands of the original music.	SVM HeaderParse 0.2
YEAR	2005	user correction - Legacy Corrections
VENUE	In Proceedings of the International Computer Music Conference (ICMC	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	93--96	INFERENCE
CITATIONS	16 found	ParsCit 1.0