eprintid: 19085
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/90/85
datestamp: 2024-06-04 14:11:32
lastmod: 2024-06-04 14:11:32
status_changed: 2024-06-04 14:04:49
type: conference_item
metadata_visibility: show
creators_name: Lin, Y.-J.
creators_name: Ding, S.Y.
creators_name: Lu, C.-K.
creators_name: Tang, T.B.
creators_name: Shen, J.-Y.
title: Emotion Prediction in Music Based on Artificial Intelligence Techniques
ispublished: pub
keywords: Convolution; Emotion Recognition; Forecasting; Music, Artificial intelligence techniques; Audio features; Audio-based; Convolutional neural network; Emotion; Emotion predictions; Mel frequency cepstral co-efficient; Mel-frequency cepstral coefficients; One-dimensional; One-dimensional convolutional neural network, Convolutional neural networks
note: cited By 0; Conference of 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 ; Conference Date: 17 July 2023 Through 19 July 2023; Conference Code:192266
abstract: Music is often described as the "language of emotion,"and emotion prediction is important as it can impact future behavior. This paper proposes an audio-based emotion prediction model using a One-Dimensional Convolutional Neural Network (1D-CNN) approach, with Mel-Frequency Cepstral Coefficients (MFCCs) extracted as audio features. Preliminary results show an overall accuracy of 93, but the imbalanced dataset used may cause bias in the accuracy of each emotion. Further research is needed to investigate the classification of audio features and 1D-CNN layers. © 2023 IEEE.
date: 2023
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174920802&doi=10.1109%2fICCE-Taiwan58799.2023.10226902&partnerID=40&md5=b23cc77ba7b805f2f7344ab3587814a1
id_number: 10.1109/ICCE-Taiwan58799.2023.10226902
full_text_status: none
publication: 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
pagerange: 405-406
refereed: TRUE
citation:   Lin, Y.-J. and Ding, S.Y. and Lu, C.-K. and Tang, T.B. and Shen, J.-Y.  (2023) Emotion Prediction in Music Based on Artificial Intelligence Techniques.  In: UNSPECIFIED.