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MediaEval 2015: Recurrent neural network approach to emotion in music tack
Yu Hao Chin,
Jia Ching Wang
資訊工程學系
研究成果
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雜誌貢獻
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Keyphrases
Neural Network Method
100%
Recurrent Neural Network
100%
Arousal
100%
Valence
100%
Emotion in music
100%
Tack
100%
Root Mean Square Error
33%
Affective Content
33%
R-value
33%
Deep Recurrent Neural Network
33%
Backpropagation
16%
Machine Learning Models
16%
Baseline Features
16%
Evaluation Dataset
16%
Limited Memory
16%
10-fold Cross Validation
16%
Broyden-Fletcher-Goldfarb-Shanno Algorithm
16%
Computer Science
Neural Network Approach
100%
Recurrent Neural Network
100%
Root Mean Squared Error
100%
Deep Recurrent Neural Network
100%
Fold Cross Validation
50%
Machine Learning
50%
Learning System
50%
Engineering
Neural Network Approach
100%
Recurrent Neural Network
100%
Root-Mean-Squared Error
66%
Broyden-Fletcher-Goldfarb-Shanno Algorithm
33%
Learning System
33%
Psychology
Neural Network
100%
Learning Model
33%
Cross-Validation
33%