SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

18 April 2019

Papers citing "SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition"

7 / 757 papers shown

Title
Multilingual Graphemic Hybrid ASR with Massive Data Augmentation Chunxi Liu Qiaochu Zhang Xiaohui Zhang Kritika Singh Yatharth Saraf Geoffrey Zweig 29 27 0 14 Sep 2019
A Comparative Study on Transformer vs RNN in Speech Applications Shigeki Karita Nanxin Chen Tomoki Hayashi Takaaki Hori Hirofumi Inaguma ... Ryuichi Yamamoto Xiao-fei Wang Shinji Watanabe Takenori Yoshimura Wangyou Zhang 37 716 0 13 Sep 2019
BERTphone: Phonetically-Aware Encoder Representations for Utterance-Level Speaker and Language Recognition Shaoshi Ling Julian Salazar Yuzong Liu Katrin Kirchhoff SSL 33 28 0 30 Jun 2019
CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition Linhao Dong Bo Xu 27 125 0 27 May 2019
Language Modeling with Deep Transformers Kazuki Irie Albert Zeyer Ralf Schluter Hermann Ney KELM 48 171 0 10 May 2019
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data Augmentation Christoph Luscher Eugen Beck Kazuki Irie M. Kitza Wilfried Michel Albert Zeyer Ralf Schluter Hermann Ney VLM 13 234 0 08 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 22 170 0 28 Apr 2019