Music Mood Classification
نویسندگان
چکیده
The aim of the project was to develop a music mood classifier. There are many categories of mood into which songs may be classified, e.g. happy, sad, angry, brooding, calm, uplifting, etc. People listen to different kinds of music depending on their mood. The development of a framework for estimation of musical mood, robust to the tremendous variability of musical content across genres, artists, world regions and time periods, is an interesting and challenging problem with wide applications in the music industry.
منابع مشابه
Cross-cultural Music Mood Classification: A Comparison on English and Chinese Songs
Most existing studies on music mood classification have been focusing on Western music while little research has investigated whether mood categories, audio features, and classification models developed from Western music are applicable to non-Western music. This paper attempts to answer this question through a comparative study on English and Chinese songs. Specifically, a set of Chinese pop s...
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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 subj...
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A lot of research has been done in the past decade in the field of audio content analysis for extracting various information from audio signal. One such significant information is the ”perceived mood” or the ”emotions” related to a music or audio clip. This information is extremely useful in applications like creating or adapting the play-list based on the mood of the listener. This information...
متن کاملGround 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...
متن کاملMultimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs
Music information retrieval has emerged as a mainstream research area in the past two decades. Experiments on music mood classification have been performed mainly on Western music based on audio, lyrics and a combination of both. Unfortunately, due to the scarcity of digitalized resources, Indian music fares poorly in music mood retrieval research. In this paper, we identified the mood taxonomy...
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تاریخ انتشار 2011