Dysarthric speech database for universal access research

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Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition

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Vowel Contrast and Speech Intelligibility in Dysarthria

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Recent Progress in the CUHK Dysarthric Speech Recognition System

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Characterization of atypical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility

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Glottal Source Information for Pathological Voice Detection

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Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition

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Pre-trained models for detection and severity level classification of dysarthria from speech

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Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition

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Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments

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Automated Dysarthria Severity Classification Using Deep Learning Frameworks

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Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: a review

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Automatic assessment of dysarthria severity level using audio descriptors

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Improving Acoustic Models in TORGO Dysarthric Speech Database

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Dysarthric Speech Transformer: A Sequence-to-Sequence Dysarthric Speech Recognition System

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Modelling Errors in Automatic Speech Recognition for Dysarthric Speakers

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Frequency of consonant articulation errors in dysarthric speech

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Spectro-Temporal Representation of Speech for Intelligibility Assessment of Dysarthria

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Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech

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E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition

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Automation of Language Sample Analysis

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Knowledge transfer between speakers for personalised dialogue management

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Differential Diagnosis of Apraxia of Speech in Children and Adults: A Scoping Review

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Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition

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A Multi-Views Multi-Learners Approach Towards Dysarthric Speech Recognition Using Multi-Nets Artificial Neural Networks

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Dysarthric speech classification from coded telephone speech using glottal features

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Investigation of Data Augmentation Techniques for Disordered Speech Recognition

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Wav2vec-based detection and severity level classification of dysarthria from speech

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Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences

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End-to-end Dysarthric Speech Recognition Using Multiple Databases

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On the impact of dysarthric speech on contemporary ASR cloud platforms

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State-Transition Interpolation and MAP Adaptation for HMM-based Dysarthric Speech Recognition

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Learning to Detect Dysarthria from Raw Speech

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Acoustic model adaptation using in-domain background models for dysarthric speech recognition

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Perceptually Enhanced Single Frequency Filtering for Dysarthric Speech Detection and Intelligibility Assessment

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An attention Long Short-Term Memory based system for automatic classification of speech intelligibility

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Speaker adaptation using spectro-temporal deep features for dysarthric and elderly speech recognition

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Model adaptation and adaptive training for the recognition of dysarthric speech

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Dysarthria Speech Detection Using Convolutional Neural Networks with Gated Recurrent Unit

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Prosody-Based Measures for Automatic Severity Assessment of Dysarthric Speech

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Enhancing Pre-Trained ASR System Fine-Tuning for Dysarthric Speech Recognition Using Adversarial Data Augmentation

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Investigation of Different Time-Frequency Representations for Intelligibility Assessment of Dysarthric Speech

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How to manage sound, physiological and clinical data of 2500 dysphonic and dysarthric speakers?

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Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition

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Cross-Database Models for the Classification of Dysarthria Presence

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End-To-End Voice Conversion Via Cross-Modal Knowledge Distillation for Dysarthric Speech Reconstruction

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Deep learning applications in telerehabilitation speech therapy scenarios

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On Using the UA-Speech and Torgo Databases to Validate Automatic Dysarthric Speech Classification Approaches

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Automatic Speech and Voice Disorder Detection Using Deep Learning—A Systematic Literature Review

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Dysarthric Speech Recognition with Lattice-Free MMI

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Dysarthria severity classification using multi-head attention and multi-task learning

Joshy, A. A., & Rajan, R. (2022) · Speech Communication · doi:10.1016/j.specom.2022.12.004 · Cited by 39 · see citing works

Exploring Self-Supervised Pre-Trained ASR Models for Dysarthric and Elderly Speech Recognition

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Automatic assessment of intelligibility in speakers with dysarthria from coded telephone speech using glottal features

Narendra, N. P., & Alku, P. (2020) · Computer Speech & Language · doi:10.1016/j.csl.2020.101117 · Cited by 39 · see citing works

Self-Supervised ASR Models and Features for Dysarthric and Elderly Speech Recognition

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Pathological Speech Intelligibility Assessment Based on the Short-time Objective Intelligibility Measure

Janbakhshi, P., Kodrasi, I., & Bourlard, H. A. (2019) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2019.8683741 · Cited by 38 · see citing works

Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech

Korzekwa, D., Barra-Chicote, R., Kostek, B., Thomas Drugman, A., & Łajszczak, M. (2019) · Interspeech (USB) · doi:10.21437/interspeech.2019-1206 · Cited by 38 · see citing works

Synthesis of New Words for Improved Dysarthric Speech Recognition on an Expanded Vocabulary

Harvill, J. B., Issa, D., Hasegawa‐Johnson, M., & Yoo, C. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9414869 · Cited by 38 · see citing works

Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems

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Improved End-to-End Dysarthric Speech Recognition via Meta-learning Based Model Re-initialization

Wang, D., Yu, J., Wu, X., Sun, L., Liu, X., & Meng, H. M. L. (2021) · International Symposium on Chinese Spoken Language Processing (ISCSLP) · doi:10.1109/iscslp49672.2021.9362068 · Cited by 37 · see citing works

Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review

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Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition

Violeta, L. P., Huang, W. C., & Toda, T. (2022) · Interspeech (USB) · doi:10.21437/interspeech.2022-10043 · Cited by 36 · see citing works

Multi-Stage Audio-Visual Fusion for Dysarthric Speech Recognition With Pre-Trained Models

Yu, C., Su, X., & Qian, Z. (2023) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2023.3262001 · Cited by 35 · see citing works

A survey of technologies for automatic Dysarthric speech recognition

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Dysarthria severity assessment using squeeze-and-excitation networks

Joshy, A. A., & Rajan, R. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.104606 · Cited by 35 · see citing works

Automatic dysarthria detection and severity level assessment using CWT-layered CNN model

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Knowledge Transferability Between the Speech Data of Persons With Dysarthria Speaking Different Languages for Dysarthric Speech Recognition

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Analytic phase features for dysarthric speech detection and intelligibility assessment

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Dysarthric speaker identification with different degrees of dysarthria severity using deep belief networks

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EasyCall Corpus: A Dysarthric Speech Dataset

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Representation Learning Based Speech Assistive System for Persons With Dysarthria

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Subspace-Based Learning for Automatic Dysarthric Speech Detection

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Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition

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Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech

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Dysarthria intelligibility assessment in a factor analysis total variability space

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Dysarthric Speech Recognition Using Variational Mode Decomposition and Convolutional Neural Networks

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Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition

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The Detection of Dysarthria Severity Levels Using AI Models: A Review

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An automatic diagnosis and assessment of dysarthric speech using speech disorder specific prosodic features

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Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition

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Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition

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Statistical Analysis of Speech Disorder Specific Features to Characterise Dysarthria Severity Level

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Automatic selection of speakers for improved acoustic modelling: recognition of disordered speech with sparse data

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A deep learning approach to dysarthric utterance classification with BiLSTM-GRU, speech cue filtering, and log mel spectrograms

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Data Augmentation using virtual microphone array synthesis and multi-resolution feature extraction for isolated word dysarthric speech recognition

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Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition

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A Dutch Dysarthric Speech Database for Individualized Speech Therapy Research

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The TORGO database of acoustic and articulatory speech from speakers with dysarthria

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Towards a comparative database . . .

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Dysarthric Speech Database for Development of QoLT Software Technology

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