Purging Musical Instrument Sample Databases Using Automatic Musical Instrument Recognition MethodsReport as inadecuate




Purging Musical Instrument Sample Databases Using Automatic Musical Instrument Recognition Methods - Download this document for free, or read online. Document in PDF available to download.

1 Analyse et synthèse sonores Paris STMS - Sciences et Technologies de la Musique et du Son

Abstract : Compilation of musical instrument sample databases requires careful elimination of badly recorded samples and validation of sample classification into correct categories. This paper introduces algorithms for automatic removal of bad instrument samples using Automatic Musical Instrument Recognition and Outlier Detection techniques. Best evaluation results on a methodically contaminated sound database are achieved using the introduced MCIQR method, which removes 70.1% bad samples with 0.9% false-alarm rate and 90.4% with 8.8% false-alarm rate.

en fr

Keywords : multimedia databases pattern classification music information retrieval music musical instruments Instrument recognition

Mots-clés : Informatique musicale





Author: Arie Livshin - Xavier Rodet -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents