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 …
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 …
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 …
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 …
[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 …
Self-supervised ASR Models and Features For Dysarthric and Elderly Speech Recognition
Self-supervised learning (SSL) based speech foundation models have been applied to a
wide range of ASR tasks. However, their application to dysarthric and elderly speech via …
wide range of ASR tasks. However, their application to dysarthric and elderly speech via …
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 …
UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization
Dysarthric speech reconstruction (DSR) systems aim to automatically convert dysarthric
speech into normal-sounding speech. The technology eases communication with speakers …
speech into normal-sounding speech. The technology eases communication with speakers …
Dysarthric speech transformer: A sequence-to-sequence dysarthric speech recognition system
SR Shahamiri, V Lal, D Shah - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Automatic Speech Recognition (ASR) technologies can be life-changing for individuals who
suffer from dysarthria, a speech impairment that affects articulatory muscles and results in …
suffer from dysarthria, a speech impairment that affects articulatory muscles and results in …