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Residual Energy-Based Models for End-to-End Speech Recognition

Residual Energy-Based Models for End-to-End Speech Recognition

25 March 2021
Qiujia Li
Yu Zhang
Bo-wen Li
Liangliang Cao
P. Woodland
ArXivPDFHTML

Papers citing "Residual Energy-Based Models for End-to-End Speech Recognition"

10 / 10 papers shown
Title
TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in
  End-to-End ASR
TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR
Nagarathna Ravi
Thishyan Raj T
Vipul Arora
24
3
0
06 Jan 2024
Energy-Based Models For Speech Synthesis
Energy-Based Models For Speech Synthesis
Wanli Sun
Zehai Tu
Anton Ragni
DiffM
19
0
0
19 Oct 2023
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive
  End-to-End Speech Recognition System
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System
Xian Shi
Haoneng Luo
Zhifu Gao
Shiliang Zhang
Zhijie Yan
13
1
0
18 May 2023
Fast Entropy-Based Methods of Word-Level Confidence Estimation for
  End-To-End Automatic Speech Recognition
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition
A. Laptev
Boris Ginsburg
17
7
0
16 Dec 2022
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
C. Zhang
Trevor Strohman
AuLLM
72
14
0
08 Oct 2021
Improving Confidence Estimation on Out-of-Domain Data for End-to-End
  Speech Recognition
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition
Qiujia Li
Yu Zhang
David Qiu
Yanzhang He
Liangliang Cao
P. Woodland
11
11
0
07 Oct 2021
Word-level confidence estimation for RNN transducers
Word-level confidence estimation for RNN transducers
Mingqiu Wang
H. Soltau
Laurent El Shafey
Izhak Shafran
UQCV
11
5
0
28 Sep 2021
Sequence-level Confidence Classifier for ASR Utterance Accuracy and
  Application to Acoustic Models
Sequence-level Confidence Classifier for ASR Utterance Accuracy and Application to Acoustic Models
Amber Afshan
Kshitiz Kumar
Jian Wu
8
4
0
30 Jun 2021
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence
  with Deletion Prediction
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction
David Qiu
Yanzhang He
Qiujia Li
Yu Zhang
Liangliang Cao
Ian McGraw
KELM
15
12
0
26 Apr 2021
Pushing the Limits of Semi-Supervised Learning for Automatic Speech
  Recognition
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
136
307
0
20 Oct 2020
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