ArticleComputational intelligence and neuroscience2022
A Music Emotion Classification Model Based on the Improved Convolutional Neural Network.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 11 citations in OpenAlex.
- Application of artificial intelligence CNN model in emotional recognition of instrumental music.Scientific reports · 2025Article
- MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information.Sensors (Basel, Switzerland) · 2022Article
- Construction of Music Intelligent Creation Model Based on Convolutional Neural Network.Computational intelligence and neuroscience · 2022Article
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Authors and funding
1 author at 1 institution in 2 countries.
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Abstract
Aiming at the problems of music emotion classification, a music emotion recognition method based on the convolutional neural network is proposed. First, the mel-frequency cepstral coefficient (MFCC) and residual phase (RP) are weighted and combined to extract the audio low-level features of music, so as to improve the efficiency of data mining. Then, the spectrogram is input into the convolutional recurrent neural network (CRNN) to extract the time-domain features, frequency-domain features, and sequence features of audio. At the same time, the low-level features of audio are input into the bidirectional long short-term memory (Bi-LSTM) network to further obtain the sequence information of audio features. Finally, the two parts of features are fused and input into the softmax classification function with the center loss function to achieve the recognition of four music emotions. The experimental results based on the emotion music dataset show that the recognition accuracy of the proposed method is 92.06%, and the value of the loss function is about 0.98, both of which are better than other methods. The proposed method provides a new feasible idea for the development of music emotion recognition.
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