most citedDecoupling and Interacting Multi-Task Learning Network for Joint Speech and Accent Recognition

15 citations · 16 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SD2023★ 15 cited

Decoupling and Interacting Multi-Task Learning Network for Joint Speech and Accent Recognition

Qijie Shao, Pengcheng Guo, Jinghao Yan +2

Accents, as variations from standard pronunciation, pose significant challenges for speech recognition systems. Although joint automatic speech recognition (ASR) and accent recogni…

cs.SD2022★ 1 cited

Domain Shift-oriented Machine Anomalous Sound Detection Model Based on Self-Supervised Learning

Jing-ke Yan, Xin Wang, Qin Wang +5

Thanks to the development of deep learning, research on machine anomalous sound detection based on self-supervised learning has made remarkable achievements. However, there are dif…

cs.SD2022

Linguistic-Acoustic Similarity Based Accent Shift for Accent Recognition

Qijie Shao, Jinghao Yan, Jian Kang +4

General accent recognition (AR) models tend to directly extract low-level information from spectrums, which always significantly overfit on speakers or channels. Considering accent…