Research Article
A Multimodal Music Emotion Classification Method Based on Multifeature Combined Network Classifier
Table 5
Performance comparison of our model with existing models.
| | Modal | Time | Classification | Accuracy |
| Seo, Huh [7] | Audio | 2019 | LLDs + SVM | 0.571 | Zhao et al. [9] | Audio | 2018 | MIDI + RNN | 0.568 | Chen, Tang [11] | Lyrics | 2018 | TF-IDF | 0.622 | Reddy, Mamidi [14] | Lyrics | 2018 | Word2vec + LSTM | 0.693 | Rachman et al. [24] | Multimodal | 2018 | Random forest feature fusion | 0.738 | Shi, Feng [25] | Multimodal | 2018 | LFSM decision fusion | 0.758 | Su, Xue [26] | Multimodal | 2017 | Sentence-level decision fusion | 0.806 | This paper | Multimodal | | Multifeature combined classifier + stacking fusion | 0.782 |
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