Research on Speech Enhancement Based on Deep Neural Network

[1]  Li-Rong Dai,et al.  A Regression Approach to Speech Enhancement Based on Deep Neural Networks , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[2]  Jun Du,et al.  A unified DNN approach to speaker-dependent simultaneous speech enhancement and speech separation in low SNR environments , 2017, Speech Commun..

[3]  DeLiang Wang,et al.  On Training Targets for Supervised Speech Separation , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[4]  A.V. Oppenheim,et al.  Enhancement and bandwidth compression of noisy speech , 1979, Proceedings of the IEEE.

[5]  George Saon,et al.  Speaker adaptation of neural network acoustic models using i-vectors , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

[6]  Jun Du,et al.  An Experimental Study on Speech Enhancement Based on Deep Neural Networks , 2014, IEEE Signal Processing Letters.

[7]  Birger Kollmeier,et al.  SNR estimation based on amplitude modulation analysis with applications to noise suppression , 2003, IEEE Trans. Speech Audio Process..

[8]  Yee Whye Teh,et al.  A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.

[9]  DeLiang Wang,et al.  Towards Scaling Up Classification-Based Speech Separation , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  Pascal Scalart,et al.  Speech enhancement based on a priori signal to noise estimation , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.