Investigation of Training Label Error Impact on RNN-T

1 December 2021

Papers citing "Investigation of Training Label Error Impact on RNN-T"

4 / 4 papers shown

Title
Human Transcription Quality Improvement Jian Gao Hanbo Sun Cheng Cao Zheng Du 43 2 0 24 Sep 2023
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
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,505 0 23 Jan 2020
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012