Adversarial data augmentation for disordered speech recognition

Z Jin, M Geng, X Xie, J Yu, S Liu, X Liu… - arXiv preprint arXiv …, 2021 - arxiv.org
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …

[PDF][PDF] Adversarial Data Augmentation for Disordered Speech Recognition

Z Jin, M Geng, X Xie, J Yu, S Liu, X Liu, H Meng - se.cuhk.edu.hk
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …

Adversarial Data Augmentation for Disordered Speech Recognition

Z Jin, M Geng, X Xie, J Yu, S Liu, X Liu… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …

[PDF][PDF] Adversarial Data Augmentation for Disordered Speech Recognition

Z Jin, M Geng, X Xie, J Yu, S Liu, X Liu, H Meng - researchgate.net
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …

[PDF][PDF] Adversarial Data Augmentation for Disordered Speech Recognition

Z Jin, M Geng, X Xie, J Yu, S Liu, X Liu, H Meng - 2021 - isca-archive.org
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …