Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech
Recognition

Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition

12 August 2023

Pengyuan Zhang

Papers citing "Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition"

9 / 9 papers shown

Title
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer Tahira Shehzadi Ifza Didier Stricker Muhammad Zeshan Afzal ViT 35 0 0 11 Jul 2024
Token-Weighted RNN-T for Learning from Flawed Data Gil Keren Wei Zhou Ozlem Kalinli 33 0 0 26 Jun 2024
Learning from Flawed Data: Weakly Supervised Automatic Speech Recognition Dongji Gao Hainan Xu Desh Raj Leibny Paola García Perera Daniel Povey Sanjeev Khudanpur 11 4 0 26 Sep 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 177 251 0 15 May 2022
CTC Variations Through New WFST Topologies A. Laptev Somshubra Majumdar Boris Ginsburg 27 20 0 06 Oct 2021
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
Incremental Learning for End-to-End Automatic Speech Recognition Li Fu Xiaoxiao Li Libo Zi Zhengchen Zhang Youzheng Wu Xiaodong He Bowen Zhou CLL 27 23 0 11 May 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 174 494 0 08 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015