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

16 October 2019

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

3 / 3 papers shown

Title
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition Hanjing Zhu Dongji Gao Gaofeng Cheng Daniel Povey Pengyuan Zhang Yonghong Yan NoLa 38 4 0 12 Aug 2023
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale Raphael Tang K. Kumar Gefei Yang Akshat Pandey Yajie Mao Vladislav Belyaev Madhuri Emmadi Craig Murray Ferhan Ture Jimmy J. Lin 29 4 0 21 Nov 2022
Learning from Binary Labels with Instance-Dependent Corruption A. Menon Brendan van Rooyen Nagarajan Natarajan NoLa 41 41 0 03 May 2016