A Demonstrator for Automatic Music Mood Estimation
نویسندگان
چکیده
Interest in automatic music mood classification is increasing because it could enable people to browse and manage their music collections by means of the music’s emotional expression complementary to the widely used music genres. We continue our work on designing a well defined ground-truth database for music mood classification and show a demonstrator of automatic mood estimation. While a subjective evaluation of this algorithm on arbitrary music is ongoing, the initial classification results are encouraging and suggest that an automatic predicition of music mood is possible.
منابع مشابه
Ground truth for automatic music mood classification
Automatic music classification based on audio signals provides a core technology for tools that help users to manage and browse their music collections. Since “mood” is also used as a browsing criterium, automatic mood classification could support the creation of the necessary metadata. We have developed a method to obtain a reliable “ground truth” database for automatic music mood classificati...
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تاریخ انتشار 2007