Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech
Foundation Models

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models

23 May 2024

Yuchen Hu

Chen Chen

Chao-Han Huck Yang

Chao Zhang

Papers citing "Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models"

7 / 7 papers shown

Title
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model Shuangping Huang Y. Luo Zhenzhou Zhuang Jin-Gang Yu Mengchao He Yongpan Wang 33 8 0 13 Mar 2023
Source-Free Unsupervised Domain Adaptation: A Survey Yuqi Fang P. Yap W. Lin Hongtu Zhu Mingxia Liu 128 86 0 31 Dec 2022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech Alexis Conneau Min Ma Simran Khanuja Yu Zhang Vera Axelrod Siddharth Dalmia Jason Riesa Clara E. Rivera Ankur Bapna VLM 78 281 0 25 May 2022
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu 138 210 0 07 Oct 2021
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning DongSeon Hwang Ananya Misra Zhouyuan Huo Nikhil Siddhartha Shefali Garg David Qiu K. Sim Trevor Strohman F. Beaufays Yanzhang He 45 34 0 01 Oct 2021
Domain Adaptation for the Segmentation of Confidential Medical Images Serban Stan Mohammad Rostami OOD 29 14 0 02 Jan 2021
Lip Reading Sentences in the Wild Joon Son Chung A. Senior Oriol Vinyals Andrew Zisserman 162 782 0 16 Nov 2016