Mirex 2013: Mood Classification Tasks Submission
نویسندگان
چکیده
NOTE: this is a draft, will be updated once data is out. Our work towards music emotion recognition in MIREX 2013 stems from our best strategy from 2012 and the addition of new melodic audio features, subject of study during the current year. Three audio frameworks – Marsyas, MIR Toolbox and PsySound3, are used to extract the commonly used audio features from the samples. In addition, MELODIA vamp plugin extracts the pitch contours (melody), which are then used to calculate several melodic features directly from audio. These features are then used with different classification strategies, manly using support vector machines, resulting in our various submissions.
منابع مشابه
Mirex 2012: Mood Classification Tasks Submission
In this work, three audio frameworks – Marsyas, MIR Toolbox and PsySound3, were used to extract audio features from the audio samples. These features are then used to train several classification models, resulting in the different versions submitted to MIREX 2012 mood classification task.
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Marsyas is an open source software framework for audio analysis, synthesis and retrieval with specific emphasis on Music Information Retrieval. It is developed by an international team of programmers and researchers led by George Tzanetakis. In MIREX 2010 the Marsyas team participated in the following tasks: Audio Classical Composer Identification, Audio Genre Classification (Latin and Mixed), ...
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