Multi-Modal Data Augmentation for End-to-End ASR

27 March 2018

Papers citing "Multi-Modal Data Augmentation for End-to-End ASR"

7 / 7 papers shown

Title
Improving Joint Speech-Text Representations Without Alignment Cal Peyser Zhong Meng Ke Hu Rohit Prabhavalkar Andrew Rosenberg Tara N. Sainath M. Picheny Kyunghyun Cho VLM 31 4 0 11 Aug 2023
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 137 350 0 21 May 2022
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 42 799 0 07 May 2021
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text M. Baskar Shinji Watanabe Ramón Fernández Astudillo Takaaki Hori L. Burget J. Černocký 36 42 0 30 Apr 2019
Pretraining by Backtranslation for End-to-end ASR in Low-Resource Settings Matthew Wiesner Adithya Renduchintala Shinji Watanabe Shuoyang Ding Najim Dehak Sanjeev Khudanpur 21 32 0 10 Dec 2018
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation Ye Jia Melvin Johnson Wolfgang Macherey Ron J. Weiss Yuan Cao Chung-Cheng Chiu Naveen Ari Stella Laurenzo Yonghui Wu 31 159 0 05 Nov 2018
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 6,746 0 26 Sep 2016