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Choice of Mel filter bank in computing MFCC of a resampled speech
The 7 references without a DOI — listed, not checked
no DOI — not checkedSchlüter, J., and Grill, T. (2015, January 26–30). Exploring Data Augmentation for Improved Singing Voice Detection with Neural Networks. Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR 2015), Malaga, Spain.
no DOI — not checkedJackson, P., and Haq, S. (2014). Surrey Audio-Visual Expressed Emotion (SAVEE) Database, University of Surrey.
no DOI — not checkedSimonyan, K., and Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv.
no DOI — not checkedKrizhevsky, A., Sutskever, I., and Hinton, G.E. (2012). Imagenet classification with deep convolutional neural networks. Advances in Neural Information Processing Systems 25 (NIPS 2012), Curran Associates, Inc.
no DOI — not checkedIoffe, S., and Szegedy, C. (2015). Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv.
no DOI — not checkedKingma, D.P., and Ba, J.L. (2015, January 7–9). Adam: Amethod for stochastic optimization. Proceedings of the 3rd International Conference for Learning Representations, San Diego, CA, USA.
no DOI — not checkedVidyamurthy, G. (2004). Pairs Trading: Quantitative Methods and Analysis, John Wiley & Sons.
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