Adversarial data augmentation using vae-gan for disordered speech recognition
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …
underlying neuro-motor conditions, often compounded with co-occurring physical …
Adversarial data augmentation for disordered speech recognition
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …
underlying neuro-motor conditions, often compounded with co-occurring physical …
Enhancing Pre-trained ASR System Fine-tuning for Dysarthric Speech Recognition using Adversarial Data Augmentation
Automatic recognition of dysarthric speech remains a highly challenging task to date. Neuro-
motor conditions and co-occurring physical disabilities create difficulty in large-scale data …
motor conditions and co-occurring physical disabilities create difficulty in large-scale data …
Personalized adversarial data augmentation for dysarthric and elderly speech recognition
Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech, accurate recognition of dysarthric and elderly speech remains a highly …
normal speech, accurate recognition of dysarthric and elderly speech remains a highly …
Recent progress in the CUHK dysarthric speech recognition system
Despite the rapid progress of automatic speech recognition (ASR) technologies in the past
few decades, recognition of disordered speech remains a highly challenging task to date …
few decades, recognition of disordered speech remains a highly challenging task to date …
Exploiting cross domain acoustic-to-articulatory inverted features for disordered speech recognition
Articulatory features are inherently invariant to acoustic signal distortion and have been
successfully incorporated into automatic speech recognition (ASR) systems for normal …
successfully incorporated into automatic speech recognition (ASR) systems for normal …
Use of speech impairment severity for dysarthric speech recognition
A key challenge in dysarthric speech recognition is the speaker-level diversity attributed to
both speaker-identity associated factors such as gender, and speech impairment severity …
both speaker-identity associated factors such as gender, and speech impairment severity …
[PDF][PDF] Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition.
Automatic speech recognition (ASR) for disordered speech is a challenging task. People
with speech disorders such as dysarthria often have physical disabilities, leading to severe …
with speech disorders such as dysarthria often have physical disabilities, leading to severe …
Data augmentation using conditional generative adversarial networks for robust speech recognition
For noise robust speech recognition, data mismatch between training and test is a significant
challenge. To reduce this mismatch, traditional approach of data augmentation usually adds …
challenge. To reduce this mismatch, traditional approach of data augmentation usually adds …
[PDF][PDF] Adversarial Feature-Mapping for Speech Enhancement.
Feature-mapping with deep neural networks is commonly used for single-channel speech
enhancement, in which a feature-mapping network directly transforms the noisy features to …
enhancement, in which a feature-mapping network directly transforms the noisy features to …