Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Reference24 articles.
1. Bowles, C., Chen, L., Guerrero, R., Bentley, P., Gunn, R., Hammers, A., Dickie, D.A., Hernández, M.V., Wardlaw, J., & Rueckert, D. (2018) Gan augmentation: Augmenting training data using generative adversarial networks. arXiv:1810.10863
2. Chatziagapi, A., Paraskevopoulos, G., Sgouropoulos, D., Pantazopoulos, G., Nikandrou, M., Giannakopoulos, T., et al. (2019). Data augmentation using gans for speech emotion recognition. Proc Interspeech, 2019, 171–175.
3. Chollet, F., et al. (2015). Keras: Deep learning library for theano and tensorflow. https://keras.io/k.7(8):T1
4. Chung, S., Lim, J., Noh, K. J., Kim, G., & Jeong, H. (2019). Sensor data acquisition and multimodal sensor fusion for human activity recognition using deep learning. Sensors, 19(7), 1716.
5. Cui, X., Goel, V., & Kingsbury, B. (2015). Data augmentation for deep neural network acoustic modeling. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 23(9), 1469–1477.
Cited by
24 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献