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Showing 1 to 6 of 6 for “"music classification"”.
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A mood-based music classification and exploration system
Mood classification of music is an emerging domain of music information retrieval. In the approach presented here features extracted from an audio file are used in combination with the affective value of song lyrics to map a song onto a psychologically based emotion space. The motivation behind …
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Modelling music: a theoretical approach to the classification of notated Western art music
The classification of notated Western art music is a perennial issue. This thesis analyses and models the knowledge organization of notated Western art music in order to elucidate a theoretical understanding of these classification issues and to offer new ways of viewing music classification in the …
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Comparison of classification techniques for speechaudio applications
This classification of speech vs. noise or speech vs. music can be used in speech/audio signal processing applications as an important part to achieve a lower bit-rate or to enhance the performance of coding in multimedia communications. In recent years, some research on the classification has been …
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Unsupervised Classification of Music Signals: Strategies Using Timbre and Rhythm
… describes the ideal properties of an adaptable music classification system based on unsupervised machine learning, and argues that such a system should be based on the fundamental musical properties of timbre, rhythm, melody and harmony. The first two properties and the signal features …
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Improving music mood classification using lyrics, audio and social tags
The affective aspect of music (popularly known as music mood) is a newly emerging metadata type and access point to music information, but it has not been well studied in information science. There has yet to be developed a suitable set of mood categories that can reflect the reality of music …