Input Length Matters: Improving RNN-T and MWER Training for Long-form Telephony Speech Recognition

8 October 2021

Papers citing "Input Length Matters: Improving RNN-T and MWER Training for Long-form Telephony Speech Recognition"

4 / 4 papers shown

Title
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging Rohit Prabhavalkar Yanzhang He David Rybach S. Campbell A. Narayanan Trevor Strohman Tara N. Sainath 33 35 0 12 Dec 2020
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data Thibault Doutre Wei Han Min Ma Zhiyun Lu Chung-Cheng Chiu Ruoming Pang A. Narayanan Ananya Misra Yu Zhang Liangliang Cao 38 21 0 22 Oct 2020
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition Yu Zhang James Qin Daniel S. Park Wei Han Chung-Cheng Chiu Ruoming Pang Quoc V. Le Yonghui Wu VLM SSL 110 290 0 20 Oct 2020
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition Chao Weng Chengzhu Yu Jia Cui Chunlei Zhang Dong Yu 44 38 0 28 Nov 2019