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PRAIg '16 / +pics

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9th international workshop on Machine Learning and Music

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Riva del Garda (Italy): 19th - 23rd September 2016

Publications:

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  1. T. Lidy; A. Grecu; A. Rauber; A. Pertusa; P. J. Ponce de León; J. M. Iñesta
    "A Multi-Feature-Set Multi-Classifier Ensemble Approach For Audio Music Classification"
    Music Information Retrieval Evaluation eXchange (MIREX 2009), Kobe, Japan (2009)
    : bibtex : MIREX 2009
    Abstract:

    The approach of combining a multitude of audio features and also symbolic features (through transcription of audio to MIDI) for music classification proved useful, as shown previously. We extended the system submitted to MIREX 2008 by including temporal audio features, adding another audio analysis algorithm based on finding templates on music, enhancing the polyphonic audio to MIDI transcription system and using an ensemble of classification models specializing on feature subsets, rather than combining all features to feed a single classifier, like in the previous MIREX. Recent research in music genre classification hints at a glass ceiling being reached using timbral audio features.

@inproceedings {
 author = "T. Lidy; A. Grecu; A. Rauber; A. Pertusa; P. J. Ponce de León; J. M. Iñesta",
 title  = "A Multi-Feature-Set Multi-Classifier Ensemble Approach For Audio Music Classification",
 address = "Kobe, Japan",
 booktitle = "Music Information Retrieval Evaluation eXchange (MIREX 2009)",
 month = "October",
 organization = "International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL)",
 year = "2009"
}
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