Publisher
Springer International Publishing
Reference31 articles.
1. Abdel-Hamid, O., Mohamed, A.R., Jiang, H., Penn, G.: Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition. In: Acoustics, Speech and Signal Processing, pp. 4277–4280. IEEE (2012)
2. Bagchi, D., Mandel, M.I., Wang, Z., He, Y., Plummer, A., Fosler-Lussier, E.: Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition. In: 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 496–503. IEEE (2015)
3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);M Coto-Jiménez,2016
4. Deng, L., et al.: Recent advances in deep learning for speech research at Microsoft. In: ICASSP, vol. 26, p. 64 (2013)
5. Du, J., Wang, Q., Gao, T., Xu, Y., Dai, L.R., Lee, C.H.: Robust speech recognition with speech enhanced deep neural networks. In: Association (2014)
Cited by
7 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