ResearchTrend.AI
HydraFormer: One Encoder For All Subsampling Rates

HydraFormer: One Encoder For All Subsampling Rates

Yaoxun Xu
Xingchen Song
Zhiyong Wu
Di Wu
Zhendong Peng
Binbin Zhang
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "HydraFormer: One Encoder For All Subsampling Rates"

5 / 5 papers shown
Title
UFO2: A unified pre-training framework for online and offline speech recognition
UFO2: A unified pre-training framework for online and offline speech recognition
Li Fu
Siqi Li
Qingtao Li
L. Deng
Fangzhu Li
Lu Fan
Meng Chen
Xiaodong He
OffRL
114
8
0
26 Oct 2022
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
Binbin Zhang
Di Wu
Zhendong Peng
Xingcheng Song
Zhuoyuan Yao
Hang Lv
Linfu Xie
Chao Yang
Fuping Pan
Jianwei Niu
VLM
85
98
0
29 Mar 2022
Multistream CNN for Robust Acoustic Modeling
Multistream CNN for Robust Acoustic Modeling
Kyu Jeong Han
Jing Pan
Venkata Krishna Naveen Tadala
T. Ma
Daniel Povey
69
34
0
21 May 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
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
229
3,164
0
16 May 2020
End-to-End Automatic Speech Recognition Integrated With CTC-Based Voice Activity Detection
End-to-End Automatic Speech Recognition Integrated With CTC-Based Voice Activity Detection
Takenori Yoshimura
Tomoki Hayashi
K. Takeda
Shinji Watanabe
93
50
0
03 Feb 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.