7 citations · 16 across the 11 of their papers we have counts for
3 papers · 1 filter
CorrectSpeech: A Fully Automated System for Speech Correction and Accent Reduction
Daxin Tan, Liqun Deng, Nianzu Zheng +4
This study propose a fully automated system for speech correction and accent reduction. Consider the application scenario that a recorded speech audio contains certain errors, e.g.…
Reducing language context confusion for end-to-end code-switching automatic speech recognition
Shuai Zhang, Jiangyan Yi, Zhengkun Tian +3
Code-switching deals with alternative languages in communication process. Training end-to-end (E2E) automatic speech recognition (ASR) systems for code-switching is especially chal…
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training
Wenyong Huang, Zhenhe Zhang, Yu Ting Yeung +2
We introduce a new approach for speech pre-training named SPIRAL which works by learning denoising representation of perturbed data in a teacher-student framework. Specifically, gi…