[PDF][PDF] Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition.

B Vachhani, C Bhat, SK Kopparapu - Interspeech, 2018 - isca-archive.org
Dysarthria refers to a speech disorder caused by trauma to the brain areas concerned with
motor aspects of speech giving rise to effortful, slow, slurred or prosodically abnormal …

Automatic assessment of sentence-level dysarthria intelligibility using BLSTM

C Bhat, H Strik - IEEE Journal of Selected Topics in Signal …, 2020 - ieeexplore.ieee.org
Dysarthria is a motor speech impairment, often characterized by slow and slurred speech
that is generally incomprehensible by human listeners. An understanding of the intelligibility …

Speech Technology for Automatic Recognition and Assessment of Dysarthric Speech: An Overview

C Bhat, H Strik - Journal of Speech, Language, and Hearing …, 2025 - pubs.asha.org
Purpose: In this review article, we present an extensive overview of recent developments in
the area of dysarthric speech research. One of the key objectives of speech technology …

[PDF][PDF] Improved ASR Performance for Dysarthric Speech Using Two-stage DataAugmentation.

C Bhat, A Panda, H Strik - INTERSPEECH, 2022 - isca-archive.org
Abstract Machine learning (ML) and Deep Neural Networks (DNN) have greatly aided the
problem of Automatic Speech Recognition (ASR). However, accurate ASR for dysarthric …

Use of speech impairment severity for dysarthric speech recognition

M Geng, Z Jin, T Wang, S Hu, J Deng, M Cui… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

[PDF][PDF] Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder.

C Bhat, B Das, B Vachhani, SK Kopparapu - Interspeech, 2018 - academia.edu
Dysarthria is a manisfestation of the disruption in the neuromuscular physiology resulting in
uneven, slow, slurred, harsh or quiet speech. Dysarthric speech poses serious challenges to …

An objective evaluation framework for pathological speech synthesis

BM Halpern, J Fritsch, E Hermann… - … 14th ITG Conference, 2021 - ieeexplore.ieee.org
The development of pathological speech systems is currently hindered by the lack of a
standardised objective evaluation framework. In this work, we utilise existing detection and …

Phase-based feature representations for improving recognition of dysarthric speech

S Sehgal, S Cunningham… - 2018 IEEE Spoken …, 2018 - ieeexplore.ieee.org
Dysarthria is a neurological speech impairment, which usually results in the loss of motor
speech control due to muscular atrophy and incoordination of the articulators. As a result the …

SARNet: Speaker-Attentive ResNet for Quantification of Dysarthria Severity

H Yin, X Zhang, Y Yu, N Yu - 2024 43rd Chinese Control …, 2024 - ieeexplore.ieee.org
Analyzing differences in audio data of individuals with articulation disorders from the
perspective of human speech and employing objective methods for automated dysarthria …

[PDF][PDF] Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR

K El Hajal, E Hermann, A Kulkarni, MM Doss - arXiv e-prints, 2025 - publications.idiap.ch
Automatic speech recognition (ASR) systems are well known to perform poorly on dysarthric
speech. Previous works have addressed this by speaking rate modification to reduce the …