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 …
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 …
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 …
Spectro-temporal deep features for disordered speech assessment and recognition
Automatic recognition of disordered speech remains a highly challenging task to date.
Sources of variability commonly found in normal speech including accent, age or gender …
Sources of variability commonly found in normal speech including accent, age or gender …
[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 …
Source domain data selection for improved transfer learning targeting dysarthric speech recognition
This paper presents an improved transfer learning framework applied to robust personalised
speech recognition models for speakers with dysarthria. As the baseline of transfer learning …
speech recognition models for speakers with dysarthria. As the baseline of transfer learning …
Investigation of data augmentation techniques for disordered speech recognition
Disordered speech recognition is a highly challenging task. The underlying neuro-motor
conditions of people with speech disorders, often compounded with co-occurring physical …
conditions of people with speech disorders, often compounded with co-occurring physical …