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Lead2Gold: Towards exploiting the full potential of noisy transcriptions
  for speech recognition

Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition

16 October 2019
Adrien Dufraux
Emmanuel Vincent
Awni Y. Hannun
Armelle Brun
Matthijs Douze
ArXivPDFHTML

Papers citing "Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition"

4 / 4 papers shown
Title
A spelling correction model for end-to-end speech recognition
A spelling correction model for end-to-end speech recognition
Jinxi Guo
Tara N. Sainath
Ron J. Weiss
AuLLM
KELM
54
139
0
19 Feb 2019
wav2letter++: The Fastest Open-source Speech Recognition System
wav2letter++: The Fastest Open-source Speech Recognition System
Vineel Pratap
Awni Y. Hannun
Qiantong Xu
Jeff Cai
Jacob Kahn
Gabriel Synnaeve
Vitaliy Liptchinsky
R. Collobert
VLM
51
156
0
18 Dec 2018
Label-Noise Robust Generative Adversarial Networks
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
NoLa
73
60
0
27 Nov 2018
Learning from Binary Labels with Instance-Dependent Corruption
Learning from Binary Labels with Instance-Dependent Corruption
A. Menon
Brendan van Rooyen
Nagarajan Natarajan
NoLa
74
41
0
03 May 2016
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