Towards Automatic Data Augmentation for Disordered Speech Recognition
Automatic recognition of disordered speech remains a highly challenging task to date due to
data scarcity. This paper presents a reinforcement learning (RL) based on-the-fly data …
data scarcity. This paper presents a reinforcement learning (RL) based on-the-fly data …
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 …
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 …
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 …
Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition
Automatic recognition of disordered and elderly speech remains highly challenging tasks to
date due to data scarcity. Parameter fine-tuning is often used to exploit the large quantities of …
date due to data scarcity. Parameter fine-tuning is often used to exploit the large quantities of …
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] Improved ASR Performance for Dysarthric Speech Using Two-stage DataAugmentation.
Abstract Machine learning (ML) and Deep Neural Networks (DNN) have greatly aided the
problem of Automatic Speech Recognition (ASR). However, accurate ASR for dysarthric …
problem of Automatic Speech Recognition (ASR). However, accurate ASR for dysarthric …
Exploring self-supervised pre-trained asr models for dysarthric and elderly speech recognition
Automatic recognition of disordered and elderly speech remains a highly challenging task to
date due to the difficulty in collecting such data in large quantities. This paper explores a …
date due to the difficulty in collecting such data in large quantities. This paper explores a …
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 …