Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition

8 August 2019

Papers citing "Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition"

4 / 4 papers shown

Title
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale Gopinath Chennupati Milind Rao Gurpreet Chadha Aaron Eakin A. Raju ... Andrew Oberlin Buddha Nandanoor Prahalad Venkataramanan Zheng Wu Pankaj Sitpure CLL 27 8 0 19 Jul 2022
Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems Juan Pablo Zuluaga Iuliia Nigmatulina Amrutha Prasad P. Motlícek Karel Veselý M. Kocour Igor Szöke 22 26 0 08 Apr 2021
Semi-Supervised Learning with Data Augmentation for End-to-End ASR F. Weninger F. Mana R. Gemello Jesús Andrés-Ferrer P. Zhan 25 30 0 27 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015