Long short-term memory recurrent neural network architectures for large scale acoustic modeling, 2014. ,
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups, Signal Processing Magazine, vol.29, issue.6, pp.82-97, 2012. ,
Applying convolutional neural networks concepts to hybrid nn-hmm model for speech recognition, Acoustics, Speech and Signal Processing, pp.4277-4280, 2012. ,
Improving speech recognition by revising gated recurrent units, Proc. Interspeech, 2017. ,
Lstm: A search space odyssey, IEEE transactions on neural networks and learning systems, vol.28, pp.2222-2232, 2017. ,
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks, Proceedings of the 23rd international conference on Machine learning, pp.369-376, 2006. ,
Towards end-to-end speech recognition with deep convolutional neural networks, 2017. ,
Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences, Readings in speech recognition, pp.65-74, 1990. ,
Speaker-independent isolated word recognition based on emphasized spectral dynamics, IEEE International Conference on ICASSP'86, vol.11, pp.1991-1994, 1986. ,
Darpa timit acoustic-phonetic continous speech corpus cd-rom. nist speech disc 1-1.1, NASA STI/Recon technical report n, vol.93, 1993. ,
Dynamic routing between capsules, 2017. ,
Feed forward neural network with random quaternionic neurons, Signal Processing, vol.136, pp.59-68, 2017. ,
Deep residual learning for image recognition, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.770-778, 2016. ,
, Deep complex networks, 2017.
Learning algorithms in quaternion neural networks using ghr calculus, Neural Network World, vol.27, issue.3, p.271, 2017. ,
A quaternary version of the back-propagation algorithm, Neural Networks, 1995. Proceedings., IEEE International Conference on, vol.5, pp.2753-2756, 1995. ,
Neural networks for quaternion-valued function approximation, Circuits and Systems, 1994. ISCAS'94, vol.6, pp.307-310, 1994. ,
Quaternion neural networks for spoken language understanding, Spoken Language Technology Workshop (SLT), pp.362-368, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-02107532
Deep quaternion networks, 2017. ,
Understanding the difficulty of training deep feedforward neural networks, International conference on artificial intelligence and statistics, pp.249-256, 2010. ,
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, Proceedings of the IEEE international conference on computer vision, pp.1026-1034, 2015. ,
Adam: A method for stochastic optimization, 2014. ,
Keras, 2015. ,
A mew asr approach based on independent processing and recombination of partial frequency bands, Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on, vol.1, pp.426-429, 1996. ,
An application of recurrent nets to phone probability estimation, IEEE transactions on Neural Networks, vol.5, issue.2, pp.298-305, 1994. ,
Global optimization of a neural network-hidden markov model hybrid, IEEE transactions on Neural Networks, vol.3, issue.2, pp.252-259, 1992. ,
Phone recognition with the mean-covariance restricted boltzmann machine, Advances in neural information processing systems, pp.469-477, 2010. ,
Speech recognition with deep recurrent neural networks, Acoustics, speech and signal processing (icassp), 2013 ieee international conference on, pp.6645-6649, 2013. ,
End-to-end continuous speech recognition using attention-based recurrent nn: First results, 2014. ,
Segmental recurrent neural networks for end-to-end speech recognition, 2016. ,
Multi-task learning with ctc and segmental crf for speech recognition, 2017. ,
Edge detection, color quantization, segmentation, texture removal, and noise reduction of color image using quaternion iterative filtering, Journal of Electronic Imaging, vol.23, issue.4, p.43001, 2014. ,
Color image analysis by quaternion-type moments, vol.51, pp.124-144, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01119218
Vector sparse representation of color image using quaternion matrix analysis based on genetic algorithm, Imperial Journal of Interdisciplinary Research, vol.3, issue.7, 2017. ,
Deep quaternion neural networks for spoken language understanding, Automatic Speech Recognition and Understanding Workshop, p.2017 ,
URL : https://hal.archives-ouvertes.fr/hal-02107630
, IEEE, pp.504-511, 2017.
Quaternion denoising encoder-decoder for theme identification of telephone conversations, Proc. Interspeech, pp.3325-3328, 2017. ,
A new scheme for color night vision by quaternion neural network, Proceedings of the 2nd International Conference on Autonomous Robots and Agents, vol.1315, 2004. ,