Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability

1 July 2021

Papers citing "Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability"

20 / 20 papers shown

Title
Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows Anubhab Ghosh Antoine Honoré Dong Liu G. Henter Saikat Chatterjee BDL VLM 39 7 0 15 Feb 2021
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,022 0 22 Dec 2019
Powering Hidden Markov Model by Neural Network based Generative Models Dong Liu Antoine Honoré Saikat Chatterjee L. Rasmussen BDL 94 15 0 13 Oct 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 86 58 0 25 Aug 2019
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning Dong Liu Minh Thành Vu Saikat Chatterjee L. Rasmussen 23 2 0 31 Jul 2019
The PyTorch-Kaldi Speech Recognition Toolkit Mirco Ravanelli Titouan Parcollet Yoshua Bengio VLM OffRL 42 227 0 19 Nov 2018
WaveGlow: A Flow-based Generative Network for Speech Synthesis R. Prenger Rafael Valle Bryan Catanzaro 153 1,032 0 31 Oct 2018
Diverse feature visualizations reveal invariances in early layers of deep neural networks Santiago A. Cadena Marissa A. Weis Leon A. Gatys Matthias Bethge Alexander S. Ecker FAtt 46 28 0 27 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 295 3,134 0 09 Jul 2018
Light Gated Recurrent Units for Speech Recognition Mirco Ravanelli Philemon Brakel M. Omologo Yoshua Bengio 45 317 0 26 Mar 2018
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 210 1,354 0 19 May 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,701 0 10 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 272 3,702 0 26 May 2016
Segmental Recurrent Neural Networks for End-to-end Speech Recognition Liang Lu Lingpeng Kong Chris Dyer Noah A. Smith Steve Renals 75 81 0 01 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Attention-Based Models for Speech Recognition J. Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho Yoshua Bengio 127 2,607 0 24 Jun 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 124 1,871 0 22 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 126 2,261 0 30 Oct 2014
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 226 8,523 0 22 Mar 2013