Personalized music emotion recognition

@inproceedings{Yang2009PersonalizedME,
  title={Personalized music emotion recognition},
  author={Yi-Hsuan Yang and Yu-Ching Lin and Homer H. Chen},
  booktitle={SIGIR},
  year={2009}
}
In recent years, there has been a dramatic proliferation of research on information retrieval based on highly subjective concepts such as emotion, preference and aesthetic. Such retrieval methods are fascinating but challenging since it is difficult to built a general retrieval model that performs equally well to everyone. In this paper, we propose two novel methods, bag-of-users model and residual modeling, to accommodate the individual differences for emotion-based music retrieval. The… CONTINUE READING

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Citations

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Emotions and Personality in Personalized Services

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Personalized music emotion classification via active learning

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Modeling the Affective Content of Music with a Gaussian Mixture Model

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Component Tying for Mixture Model Adaptation in Personalization of Music Emotion Recognition

  • IEEE/ACM Transactions on Audio, Speech, and Language Processing
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Affective Music Information Retrieval

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Linear regression-based adaptation of music emotion recognition models for personalization

  • 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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