[1]
|
Le, T.T and Mason, J.S. (1996) Artificial Neural Network for Nonlinear Time-Domain Filtering of Speech. IEEE Proceedings on Vision, Image and Signal Processing, 3, 433-438.
|
[2]
|
Mohammadina, N., Smaragdis, P. and Leijon, A. (2013) Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization. IEEE Transactions on Audio, Speech, and Language Processing, 21, 2140-2151.
https://doi.org/10.1109/TASL.2013.2270369
|
[3]
|
时文华, 张雄伟, 张瑞昕, 韩伟. 深度学习理论及其应用专题讲座(四)[J]. 军事通信技术, 2016, 37(3): 98-104.
|
[4]
|
Hinton, G.E., Osindero, S. and The, Y.W. (2006) A Fast Learning Algorithm for Deep Belief Nets. Neural Computation, 18, 1527-1554. https://doi.org/10.1162/neco.2006.18.7.1527
|
[5]
|
Dahl, G.E., Yu, D., Deng, L., et al. (2012) Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabu- lary Speech Recognition. IEEE Transactions on Audio Speech & Language Processing, 20, 30-42.
https://doi.org/10.1109/TASL.2011.2134090
|
[6]
|
Cireşan, D., Meier, U., Gambardella, L., et al. (2010) Deep, Big, Simple Neural Nets for Handwritten Digit Recognition. Neural Computation, 22, 3207-3220. https://doi.org/10.1162/NECO_a_00052
|
[7]
|
Xu, Y., Du, J., Dai, L.R., et al. (2014) An Experimental Study on Speech Enhancement Based on Deep Neural Networks. IEEE Signal Processing Letters, 21, 65-68. https://doi.org/10.1109/LSP.2013.2291240
|
[8]
|
Vu, T.T., Bigot, B. and Chng, E.S. (2016) Combing Non-Negative Matrix Factorization and Deep Neural Network for Speech Enhancement and Automatic Speech Recognition. In: IEEE International Conference on Acoustic Speech and Signal Processing, IEEE Press, Shanghai, 499-503.
|
[9]
|
Han, S., Mao, H.Z. and Dally, W.J. (2015) Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman coding.
|
[10]
|
Hinton, G E. (2010) A Practical Guide to Training Restricted Boltzmann Machines. Momentum, 9, 599-619.
|
[11]
|
Srivastava, N., Hinton, G., Krizhevsky, A., et al. (2014) Dropout: A Simple Way to Prevent Neural Networks from Overfitting. Journal of Machine Learning Research, 15, 1929-1958.
|
[12]
|
Nair, V. and Hinton, G.E. (2009) 3D Object Recognition with Deep Belief Nets. Advances in Neural Information Processing Systems 22: Conference on Neural Information Processing Systems 2009, Vancouver, British Columbia, Canada, 7-10 December 2009, 1527-1554.
|
[13]
|
Phan, K.T., Maul, T.H. and Vu, T.T. (2015) A Parallel Circuit Approach for Improving the Speed and Generalization Properties of Neural Networks. International Conference on Natural Computation, 45, 1-7.
|
[14]
|
魏泉水. 基于深度神经网络的语音增强算法研究[D]: [硕士学位论文]. 南京: 南京大学,2016.
|
[15]
|
Hu, Y. and Loizou, P.C. (2006) Evaluation of Objective Quality Measures for Speech Enhancement. INTERSPEECH 2006-ICSLP, Ninth International Conference on Spoken Language Processing, Pittsburgh, PA, USA, September 2006, 229-238. https://doi.org/10.1007/11939993
|