@inproceedings{1fd1fca1a6df47ddb42dd00e20698a17,
title = "Emotion recognition of violin music based on strings music theory for mascot robot system",
abstract = "Emotion recognition of violin music is proposed based on strings music theory, where the emotional state of violin music is expressed by Affinity-Pleasure-Arousal emotion space. Besides the music features from audio processing, three features (i.e., left-hand feature, right-hand feature, and dynamics) with regard to both composition and performance of violin music, are extracted to improve the emotion recognition of violin music. To demonstrate the validity of this proposal, a dataset composing of 120 pieces of authorperformed violin music with six primary emotion categories is established, by which the experimental results of emotion recognition using Support Vector Regression report overall recognition accuracy of 86.67%. The proposal could be an integral part for analyzing the communication atmosphere with background music, or be used by a music recommendation system for various occasions.",
keywords = "Emotion recognition, Fuzzy logic, Music, Support vector regression, Violin",
author = "Liu, {Z. T.} and Z. Mu and Chen, {L. F.} and Le, {P. Q.} and C. Fatichah and Tang, {Y. K.} and Tangel, {M. L.} and F. Yan and K. Ohnishi and M. Yamaguchi and Y. Adachi and Lu, {J. J.} and Li, {T. Y.} and Y. Yamazaki and Dong, {F. Y.} and K. Hirota",
year = "2012",
language = "English",
isbn = "9789898565211",
series = "ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics",
pages = "5--14",
booktitle = "ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics",
note = "9th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2012 ; Conference date: 28-07-2012 Through 31-07-2012",
}