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 …
Speaker adaptation using spectro-temporal deep features for dysarthric and elderly speech recognition
Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech in recent decades, accurate recognition of dysarthric and elderly speech …
normal speech in recent decades, accurate recognition of dysarthric and elderly speech …
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 …
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 …
Speaker adaptation for Wav2vec2 based dysarthric ASR
Dysarthric speech recognition has posed major challenges due to lack of training data and
heavy mismatch in speaker characteristics. Recent ASR systems have benefited from readily …
heavy mismatch in speaker characteristics. Recent ASR systems have benefited from readily …
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 …
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 …
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 …
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 …