End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern
Architectures

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

19 November 2019

Gabriel Synnaeve

Tatiana Likhomanenko

Vitaliy Liptchinsky

Papers citing "End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures"

12 / 62 papers shown

Title
Rethinking Evaluation in ASR: Are Our Models Robust Enough? Tatiana Likhomanenko Qiantong Xu Vineel Pratap Paden Tomasello Jacob Kahn Gilad Avidov R. Collobert Gabriel Synnaeve 19 98 0 22 Oct 2020
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks Yun Tang J. Pino Changhan Wang Xutai Ma Dmitriy Genzel 23 73 0 21 Oct 2020
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha 9 2 0 19 Jun 2020
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge Ashish Arora Desh Raj Aswin Shanmugam Subramanian Ke Li Bar Ben Yair Matthew Maciejewski Piotr Żelasko Leibny Paola García-Perera Shinji Watanabe Sanjeev Khudanpur 31 9 0 14 Jun 2020
Self-Training for End-to-End Speech Translation J. Pino Qiantong Xu Xutai Ma M. Dousti Yun Tang 33 59 0 03 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 107 12,676 0 26 May 2020
Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati James Qin Chung-Cheng Chiu Niki Parmar Yu Zhang ... Wei Han Shibo Wang Zhengdong Zhang Yonghui Wu Ruoming Pang 48 3,029 0 16 May 2020
Speech Recognition and Multi-Speaker Diarization of Long Conversations H. H. Mao Shuyang Li Julian McAuley G. Cottrell VLM 22 40 0 16 May 2020
Large scale weakly and semi-supervised learning for low-resource video ASR Kritika Singh Vimal Manohar Alex Xiao Sergey Edunov Ross B. Girshick Vitaliy Liptchinsky Christian Fuegen Yatharth Saraf Geoffrey Zweig Abdel-rahman Mohamed 28 9 0 16 May 2020
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation A. Laptev Roman Korostik A. Svischev A. Andrusenko Ivan Medennikov S. Rybin 16 61 0 14 May 2020
Imputer: Sequence Modelling via Imputation and Dynamic Programming William Chan Chitwan Saharia Geoffrey E. Hinton Mohammad Norouzi Navdeep Jaitly BDL AI4TS 21 114 0 20 Feb 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 6,743 0 26 Sep 2016