Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition

Brewer, Madeline; Rahman, Jessica Sharmin

doi:10.1007/978-3-030-63836-8_29

Cited by 1 publication

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“…It utilized features obtained by feeding convolutional neural network layers with log-mel filterbank energies and MFCCs in addition to standard acoustic features. Madeline et al [18] used machine learning techniques to classify which genre of music was being listen to using physiological responses. Both Long Short Term Memory Networks and Convolutional Neural Networks could be used for making predictions from sequence data.…”

Section: Introductionmentioning

confidence: 99%

Music Emotion Recognition Based on Long Short-Term Memory and Forward Neural Network

Liu¹

2018

ICST Transactions on Scalable Information Systems

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In this paper, we propose a new music emotion recognition method based on long short-term memory and forward neural network. First, Mel Frequency Cepstral Coefficient (MFCC) and Residual Phase (RP) are weighted to extract music emotion features, which improves the recognition efficiency of music emotion features. Meanwhile, in order to improve the classification accuracy of music emotion and shorten the training time of the new model, Long short-term Memory network (LSTM) and forward neural network (FNN) are combined. Using LSTM as the feature mapping node of FNN, a new deep learning network (LSTM-FNN) is proposed for music emotion recognition and classification training. Finally, we conduct the experiments on the emotion data set. The results show that the proposed algorithm achieves higher recognition accuracy than other state-of-the-art complex networks.

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Section: Introductionmentioning

confidence: 99%

Music Emotion Recognition Based on Long Short-Term Memory and Forward Neural Network

Liu¹

2018

ICST Transactions on Scalable Information Systems

View full text Add to dashboard Cite

show abstract

Pruning Long Short Term Memory Networks and Convolutional Neural Networks for Music Emotion Recognition

Cited by 1 publication

References 5 publications

Music Emotion Recognition Based on Long Short-Term Memory and Forward Neural Network

Music Emotion Recognition Based on Long Short-Term Memory and Forward Neural Network

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