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Random Utterance Concatenation Based Data Augmentation for Improving
  Short-video Speech Recognition

Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition

28 October 2022
Yist Y. Lin
Tao Han
Haihua Xu
Van Tung Pham
Yerbolat Khassanov
Tze Yuang Chong
Yi He
Lu Lu
Zejun Ma
ArXivPDFHTML

Papers citing "Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition"

4 / 4 papers shown
Title
Updated Corpora and Benchmarks for Long-Form Speech Recognition
Updated Corpora and Benchmarks for Long-Form Speech Recognition
Jennifer Drexler Fox
Desh Raj
Natalie Delworth
Quinn Mcnamara
Corey Miller
Miguel Jetté
AuLLM
40
7
0
26 Sep 2023
Connecting Speech Encoder and Large Language Model for ASR
Connecting Speech Encoder and Large Language Model for ASR
Wenyi Yu
Changli Tang
Guangzhi Sun
Xianzhao Chen
T. Tan
Wei Li
Lu Lu
Zejun Ma
Chao Zhang
AuLLM
15
67
0
25 Sep 2023
Input Length Matters: Improving RNN-T and MWER Training for Long-form
  Telephony Speech Recognition
Input Length Matters: Improving RNN-T and MWER Training for Long-form Telephony Speech Recognition
Zhiyun Lu
Yanwei Pan
Thibault Doutre
Parisa Haghani
Liangliang Cao
Rohit Prabhavalkar
Chuxu Zhang
Trevor Strohman
AuLLM
83
14
0
08 Oct 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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