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MUSIC MOOD DETECTION BASED ON AUDIO AND LYRICS WITH D…

    http://ismir2018.ircam.fr/doc/pdfs/99_Paper.pdf#:~:text=Music%20Information%20Retrieval%20%28MIR%29%20has%20been%20an%20ever,biggest%20datasets%20for%20multi-modal%20mood%20detection%20ever%20proposed.
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Automatic Mood Detection and Tracking of Music Audio ...

    https://www.microsoft.com/en-us/research/publication/automatic-mood-detection-and-tracking-of-music-audio-signals/
    Music mood describes the inherent emotional expression of a music clip. It is helpful in music understanding, music retrieval, and some other music-related applications. In this paper, a hierarchical framework is presented to automate the task of mood detection from acoustic music data, by following some music psychological theories in western cultures.

Automatic mood detection and tracking of music audio ...

    https://ieeexplore.ieee.org/abstract/document/1561259/
    Automatic mood detection and tracking of music audio signals Abstract: Music mood describes the inherent emotional expression of a music clip. It is helpful in music understanding, music retrieval, and some other music-related applications.

Automatic mood detection and tracking of music audio ...

    https://dl.acm.org/doi/10.1109/TSA.2005.860344
    Music mood describes the inherent emotional expression of a music clip. It is helpful in music understanding, music retrieval, and some other music-related applications. In this paper, a hierarchical framework is presented to automate the task of mood detection from acoustic music data, by following some music psychological theories in western cultures.

Automatic mood detection and tracking of music audio ...

    https://www.researchgate.net/publication/3457494_Automatic_mood_detection_and_tracking_of_music_audio_signals
    Introducing a computational hierarchical framework, Lu et al [8] attempted to automatically detect and track mood of music audio signals, based on the intensity, timbral, and rhythmic features. A...

Automatic Mood Detection of Music Audio Signals: An Overview

    https://iosrjournals.org/iosr-jece/papers/NCIEST/Volume%201/17.%2083-87.pdf
    Lie Lu, Dan Liu, and Hong-Jiang Zhang [2] described Automatic Mood Detection and tracking of Music Audio Signals. In this paper, a hierarchical framework is presented to automate the task of mood detection from acoustic music data. Music features such as intensity, timbre, and rhythm, were extracted to represent the characteristics of a music clip. The approach to mood …

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