Long short-term memory recurrent neural network architectures for Urdu acoustic modeling

作者: Tehseen Zia , Usman Zahid , None

DOI: 10.1007/S10772-018-09573-7

关键词:

摘要: … It can be observe that GRU based architectures perform … a memory cell in order to retain contextual information in more explicit manner. However, in terms of convergence time, GRU …

参考文章(33)
Tomas Mikolov, Martin Karafiát, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget, Recurrent neural network based language model conference of the international speech communication association. pp. 1045- 1048 ,(2010)
A. Ahad, A. Fayyaz, T. Mehmood, Speech recognition using multilayer perceptron IEEE Students Conference, ISCON '02. Proceedings.. ,vol. 1, pp. 103- 109 ,(2002) , 10.1109/ISCON.2002.1215948
Charles Elkan, Zachary C. Lipton, John Berkowitz, A Critical Review of Recurrent Neural Networks for Sequence Learning arXiv: Learning. ,(2015)
Klaus Greff, Rupesh K. Srivastava, Jan Koutnik, Bas R. Steunebrink, Jurgen Schmidhuber, LSTM: A Search Space Odyssey IEEE Transactions on Neural Networks. ,vol. 28, pp. 2222- 2232 ,(2017) , 10.1109/TNNLS.2016.2582924
Yoshua Bengio, Tomas Mikolov, Razvan Pascanu, On the difficulty of training recurrent neural networks international conference on machine learning. pp. 1310- 1318 ,(2013)
Caglar Gulcehre, Yoshua Bengio, Razvan Pascanu, Kyunghyun Cho, How to Construct Deep Recurrent Neural Networks arXiv: Neural and Evolutionary Computing. ,(2013)
Çaglar Gülçehre, Yoshua Bengio, Yoshua Bengio, Yoshua Bengio, KyungHyun Cho, Junyoung Chung, Empirical evaluation of gated recurrent neural networks on sequence modeling arXiv: Neural and Evolutionary Computing. ,(2014)
L. R. Rabiner, B. H. Juang, Hidden Markov models for speech recognition Technometrics. ,vol. 33, pp. 251- 272 ,(1991) , 10.2307/1268779
Alex Graves, Navdeep Jaitly, Abdel-rahman Mohamed, Hybrid speech recognition with Deep Bidirectional LSTM ieee automatic speech recognition and understanding workshop. pp. 273- 278 ,(2013) , 10.1109/ASRU.2013.6707742
Ronald J. Williams, Jing Peng, An efficient gradient-based algorithm for on-line training of recurrent network trajectories Neural Computation. ,vol. 2, pp. 490- 501 ,(1990) , 10.1162/NECO.1990.2.4.490