深度学习(Deep Learning)理论是对深度信念网络的基础上总结发展起来的一门新兴学科，该理论在视觉、声音、语言处理方面已经得到了成功的应用。目前在语音处理方面主要集中在语音识别上，当然，该理论还可能在以下方面得到应用，其中包括：

[1] G. E. Hinton, “Learning multiple layers of representation.”
[2] G. E. Hinton and S. Osindero, “A fast learning algorithm for deep belief nets,” Neural Computation, vol. 18, p. 2006, 2006.
[3] D. Erhan, Y. Bengio, A. Courville, P.-A. Manzagol, P. Vincent, and S. Bengio, “Why does unsupervised pre-training help deep learning?” Journal of Machine Learning Research, vol. 11, p. 625?660, 2010.