Recognition of emotions in music through the Adaptive-Network-Based Fuzzy (ANFIS)

Author:

Moreira Paulo Sergio da Conceição1ORCID,Tsunoda Denise Fukumi1ORCID

Affiliation:

1. Federal University of Paraná (UFPR), Curitiba, Brazil

Funder

CAPES

Publisher

Informa UK Limited

Subject

Music,Visual Arts and Performing Arts

Reference67 articles.

1. An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data

2. Studying emotion induced by music through a crowdsourcing game

3. Developing a benchmark for emotional analysis of music

4. Perception of basic emotions in music: Culture-specific or multicultural?

5. Barthet, M., Fazekas, G. & Sandler, M. (2012). Multidisciplinary perspectives on music emotion recognition: Implications for content and context-based models. Proceedings of 9th international symposium on computer music modelling and retrieval, London, England (pp. 492–507).

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2. Hybrid Classification Model for Emotion Prediction from EEG Signals: A Comparative Study;JUCS - Journal of Universal Computer Science;2023-12-28

3. Intelligent Music Recognition System Based on Neural Network Algorithm;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

4. Multimodal Music Emotion Recognition based on WLDNN_GAN;2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE);2022-12

5. Music Emotion Classification Method Based on Deep Learning and Explicit Sparse Attention Network;Computational Intelligence and Neuroscience;2022-06-21

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