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A History of Audio Effects
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Musical Emotion Recognition with Spectral Feature Extraction Based on a Sinusoidal Model with Model-Based and Deep-Learning Approaches

Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
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Appl. Sci. 2020, 10(3), 902; https://doi.org/10.3390/app10030902
Received: 15 December 2019 / Revised: 17 January 2020 / Accepted: 21 January 2020 / Published: 30 January 2020
(This article belongs to the Special Issue Digital Audio Effects)
This paper presents a method for extracting novel spectral features based on a sinusoidal model. The method is focused on characterizing the spectral shapes of audio signals using spectral peaks in frequency sub-bands. The extracted features are evaluated for predicting the levels of emotional dimensions, namely arousal and valence. Principal component regression, partial least squares regression, and deep convolutional neural network (CNN) models are used as prediction models for the levels of the emotional dimensions. The experimental results indicate that the proposed features include additional spectral information that common baseline features may not include. Since the quality of audio signals, especially timbre, plays a major role in affecting the perception of emotional valence in music, the inclusion of the presented features will contribute to decreasing the prediction error rate. View Full-Text
Keywords: musical emotion recognition; spectral feature extraction; sinusoidal model; principal component regression; deep learning; machine learning musical emotion recognition; spectral feature extraction; sinusoidal model; principal component regression; deep learning; machine learning
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MDPI and ACS Style

Xie, B.; Kim, J.C.; Park, C.H. Musical Emotion Recognition with Spectral Feature Extraction Based on a Sinusoidal Model with Model-Based and Deep-Learning Approaches. Appl. Sci. 2020, 10, 902. https://doi.org/10.3390/app10030902

AMA Style

Xie B, Kim JC, Park CH. Musical Emotion Recognition with Spectral Feature Extraction Based on a Sinusoidal Model with Model-Based and Deep-Learning Approaches. Applied Sciences. 2020; 10(3):902. https://doi.org/10.3390/app10030902

Chicago/Turabian Style

Xie, Baijun; Kim, Jonathan C.; Park, Chung H. 2020. "Musical Emotion Recognition with Spectral Feature Extraction Based on a Sinusoidal Model with Model-Based and Deep-Learning Approaches" Appl. Sci. 10, no. 3: 902. https://doi.org/10.3390/app10030902

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