Réseaux de neurones convolutifs de quaternions pour l'identification de thèmes de conversations téléphoniques
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[1] Timothy J. Hazen,et al. Topic identification from audio recordings using word and phone recognition lattices , 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).
[2] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[3] Jürgen Schmidhuber,et al. Framewise phoneme classification with bidirectional LSTM and other neural network architectures , 2005, Neural Networks.
[4] Georges Linarès,et al. The LIA Speech Recognition System: From 10xRT to 1xRT , 2007, TSD.
[5] Mohamed Morchid,et al. Theme identification in telephone service conversations using quaternions of speech features , 2013, INTERSPEECH.
[6] Titouan Parcollet,et al. Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations , 2017, INTERSPEECH.
[7] T. Nitta,et al. A quaternary version of the back-propagation algorithm , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[8] Nikos A. Aspragathos,et al. A comparative study of three methods for robot kinematics , 1998, IEEE Trans. Syst. Man Cybern. Part B.
[9] Frédéric Béchet,et al. DECODA: a call-centre human-human spoken conversation corpus , 2012, LREC.
[10] Ying Zhang,et al. Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition , 2018, INTERSPEECH.
[11] Nobuyuki Matsui,et al. Feed forward neural network with random quaternionic neurons , 2017, Signal Process..
[12] Geoffrey E. Hinton,et al. Dynamic Routing Between Capsules , 2017, NIPS.
[13] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[14] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[15] Titouan Parcollet,et al. Quaternion Neural Networks for Spoken Language Understanding , 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).
[16] Dongpo Xu,et al. Learning Algorithms in Quaternion Neural Networks Using GHR Calculus , 2017 .
[17] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[18] Xiang Zhang,et al. Character-level Convolutional Networks for Text Classification , 2015, NIPS.
[19] Sandeep Subramanian,et al. Deep Complex Networks , 2017, ICLR.
[20] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[21] Nobuyuki Matsui,et al. Quaternion Neural Network and Its Application , 2003, KES.
[22] Mohamed Morchid,et al. Deep Stacked Autoencoders for Spoken Language Understanding , 2016, INTERSPEECH.
[23] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[24] Titouan Parcollet,et al. Deep quaternion neural networks for spoken language understanding , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[25] S. Sangwine. Fourier transforms of colour images using quaternion or hypercomplex, numbers , 1996 .
[26] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Giovanni Muscato,et al. Multilayer Perceptrons to Approximate Quaternion Valued Functions , 1997, Neural Networks.
[28] Anthony S. Maida,et al. Deep Quaternion Networks , 2017, 2018 International Joint Conference on Neural Networks (IJCNN).
[29] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[30] Yuichi Nakamura,et al. Approximation of dynamical systems by continuous time recurrent neural networks , 1993, Neural Networks.
[31] Jürgen Schmidhuber,et al. Learning to Forget: Continual Prediction with LSTM , 2000, Neural Computation.