Music Classification by Automated Relevance Feedbacks

Author:

Su Ja-Hwung,Hong Tzung-Pei,Yeh Hsuan-Hao

Publisher

Springer Singapore

Reference10 articles.

1. Alexandre-Cortizo, E., Rosa-Zurera, M., Lopes-Ferreras, F.: Application of fisher linear discriminant analysis to speech/music classification. In: Proceedings of the International Conference on Computer as a Tool, Serbia (2005)

2. Chen, Y.T.: Music retrieval by learning from automated logs with semantic features. National Sun Yat-sen University (2017)

3. Costa, U.M.G., Oliveira, L.S., Silla Jr., C.N.: An evaluation of convolutional neural networks for music classification using spectrograms. Appl. Soft Comput. 52, 28–38 (2017)

4. Lidy, T., Rauber, A.: Evaluation of feature extractors and psycho-acoustic transformations for music genre classification. In: Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR), UK, pp. 34–41 (2005)

5. Rocchio, J.J.: Relevance feedback in information retrieval. In: Proceedings of the SMART Retrieval System – Experiment in Automatic Document Processing, pp. 313–323. Prentice-Hall (1971)

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