Semi-Supervised Learning with Data Augmentation for End-to-End ASR

27 July 2020

Papers citing "Semi-Supervised Learning with Data Augmentation for End-to-End ASR"

7 / 7 papers shown

Title
CR-CTC: Consistency regularization on CTC for improved speech recognition Zengwei Yao Wei Kang Xiaoyu Yang Fangjun Kuang Liyong Guo Han Zhu Zengrui Jin Zhaoqing Li Long Lin Daniel Povey 51 0 0 17 Feb 2025
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives C. Jacobs Annelien Smith Daleen Klop Ondřej Klejch Febe de Wet Herman Kamper 49 0 0 11 Jan 2025
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 14 8 0 19 Jul 2022
Censer: Curriculum Semi-supervised Learning for Speech Recognition Based on Self-supervised Pre-training Bowen Zhang Songjun Cao Xiaoming Zhang Yike Zhang Long Ma T. Shinozaki SSL 15 4 0 16 Jun 2022
ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization M. Gaudesi F. Weninger D. Sharma P. Zhan AAML 19 1 0 23 Sep 2021
Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training Sameer Khurana Niko Moritz Takaaki Hori Jonathan Le Roux 6 54 0 26 Nov 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,740 0 26 Sep 2016