Real to H-Space Autoencoders for Theme Identification in Telephone Conversations
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Titouan Parcollet | Mohamed Morchid | Georges Linarès | Renato De Mori | Xavier Bost | R. Mori | Titouan Parcollet | Mohamed Morchid | G. Linarès | Xavier Bost
[1] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[2] S. Leo,et al. Local Hypercomplex Analyticity , 1997, funct-an/9703002.
[3] Ralf Krestel,et al. Latent dirichlet allocation for tag recommendation , 2009, RecSys '09.
[4] Alex Graves,et al. Associative Long Short-Term Memory , 2016, ICML.
[5] Nobuyuki Matsui,et al. Quaternionic Neural Networks: Fundamental Properties and Applications , 2009 .
[6] Luigi Fortuna,et al. Neural networks for quaternion-valued function approximation , 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.
[7] A. V. Olgac,et al. Performance Analysis of Various Activation Functions in Generalized MLP Architectures of Neural Networks , 2011 .
[8] Titouan Parcollet,et al. Quaternion Neural Networks for Spoken Language Understanding , 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).
[9] Danilo P. Mandic,et al. A Quaternion Gradient Operator and Its Applications , 2011, IEEE Signal Processing Letters.
[10] Les E. Atlas,et al. Full-Capacity Unitary Recurrent Neural Networks , 2016, NIPS.
[11] Danilo P. Mandic,et al. Quaternion-Valued Nonlinear Adaptive Filtering , 2011, IEEE Transactions on Neural Networks.
[12] Mohamed Morchid,et al. Denoised Bottleneck Features From Deep Autoencoders for Telephone Conversation Analysis , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[13] Titouan Parcollet,et al. Deep quaternion neural networks for spoken language understanding , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[14] Titouan Parcollet,et al. Quaternion Recurrent Neural Networks , 2018, ICLR.
[15] T. Nitta,et al. A quaternary version of the back-propagation algorithm , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[16] Anthony S. Maida,et al. Deep Quaternion Networks , 2017, 2018 International Joint Conference on Neural Networks (IJCNN).
[17] Richard Socher,et al. Dynamic Coattention Networks For Question Answering , 2016, ICLR.
[18] Sandeep Subramanian,et al. Deep Complex Networks , 2017, ICLR.
[19] Titouan Parcollet,et al. Bidirectional Quaternion Long Short-term Memory Recurrent Neural Networks for Speech Recognition , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[20] Zhi Chen,et al. Topic Detection in Conversational Telephone Speech Using CNN with Multi-stream Inputs , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[21] Nobuyuki Matsui,et al. Quaternion Neural Network and Its Application , 2003, KES.
[22] Mohamed Morchid,et al. Integration of Word and Semantic Features for Theme Identification in Telephone Conversations , 2015, Natural Language Dialog Systems and Intelligent Assistants.
[23] Akira Hirose,et al. Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[24] William Rowan Hamilton,et al. XI. On quaternions; or on a new system of imaginaries in algebra , 1848 .
[25] S. Sangwine. Fourier transforms of colour images using quaternion or hypercomplex, numbers , 1996 .
[26] Nobuyuki Matsui,et al. Quaternion neural network with geometrical operators , 2004, J. Intell. Fuzzy Syst..
[27] Huanbo Luan,et al. Improving the Transformer Translation Model with Document-Level Context , 2018, EMNLP.
[28] Nikos A. Aspragathos,et al. A comparative study of three methods for robot kinematics , 1998, IEEE Trans. Syst. Man Cybern. Part B.
[29] Joelle Pineau,et al. Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models , 2015, AAAI.
[30] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[31] Stephen E. Robertson,et al. Understanding inverse document frequency: on theoretical arguments for IDF , 2004, J. Documentation.
[32] Brahim Chaib-draa,et al. Parametric Exponential Linear Unit for Deep Convolutional Neural Networks , 2016, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).
[33] Geoffrey E. Hinton,et al. Application of Deep Belief Networks for Natural Language Understanding , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[34] C. Willmott,et al. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance , 2005 .
[35] Titouan Parcollet,et al. Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations , 2017, INTERSPEECH.
[36] Mohamed Morchid,et al. Latent Topic Model Based Representations for a Robust Theme Identification of Highly Imperfect Automatic Transcriptions , 2015, CICLing.
[37] Frédéric Béchet,et al. DECODA: a call-centre human-human spoken conversation corpus , 2012, LREC.
[38] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[39] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[40] Yang Liu,et al. Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention , 2016, EMNLP.
[41] Arun Narayanan,et al. From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding , 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).
[42] Georges Linarès,et al. The LIA Speech Recognition System: From 10xRT to 1xRT , 2007, TSD.
[43] Vincent Van Asch,et al. Macro-and micro-averaged evaluation measures [ [ BASIC DRAFT ] ] , 2013 .
[44] Kobin H. Kendrick,et al. Conversation Analysis , 2016 .
[45] Gökhan Tür,et al. End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding , 2016, INTERSPEECH.
[46] D. Mandic,et al. Quaternion Valued Neural Networks and Nonlinear Adaptive Filters ∗ , 2010 .
[47] Najim Dehak,et al. Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic Identification , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[48] Yongqiang Wang,et al. Towards End-to-end Spoken Language Understanding , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[49] Hang Li,et al. Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization , 2017, EMNLP.
[50] Shariq Mobin,et al. Auditory Separation of a Conversation from Background via Attentional Gating , 2019, ArXiv.
[51] Frédéric Béchet,et al. Enhancing The RATP-DECODA Corpus With Linguistic Annotations For Performing A Large Range Of NLP Tasks , 2016, LREC.
[52] Zhou Yu,et al. Enhancement and Analysis of Conversational Speech: JSALT 2017 , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[53] Mohamed Morchid,et al. Deep Stacked Autoencoders for Spoken Language Understanding , 2016, INTERSPEECH.
[54] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[55] James Diebel,et al. Representing Attitude : Euler Angles , Unit Quaternions , and Rotation Vectors , 2006 .
[56] Mark Tygert,et al. A Mathematical Motivation for Complex-Valued Convolutional Networks , 2015, Neural Computation.
[57] Ying Zhang,et al. Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition , 2018, INTERSPEECH.
[58] Soo-Chang Pei,et al. Color image processing by using binary quaternion-moment-preserving thresholding technique , 1999, IEEE Trans. Image Process..
[59] Giovanni Muscato,et al. Multilayer Perceptrons to Approximate Quaternion Valued Functions , 1997, Neural Networks.
[60] Gokhan Tur,et al. Spoken Language Understanding: Systems for Extracting Semantic Information from Speech , 2011 .