Dysarthric speech database for universal access research

Kim, Heejin, Hasegawa-Johnson, Mark, Perlman, Adrienne, Gunderson, Jon, Huang, Thomas S., Watkin, Kenneth, Frame, Simone·2008·Interspeech 2008

Cited by (398)

Items 101–200 of 398

  1. Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features
    Julian Fritsch, Mathew Magimai.-Doss · 2021 · IEEE Signal Processing Letters
  2. Variable STFT Layered CNN Model for Automated Dysarthria Detection and Severity Assessment Using Raw Speech
    Kodali Radha, Mohan Bansal, Venkata Rao Dhulipalla · 2024 · Circuits Systems and Signal Processing
  3. Adaptive neuro-fuzzy inference system for evaluating dysarthric automatic speech recognition (ASR) systems: a case study on MVML-based ASR
    Adeleh Asemi, Siti Salwah Salim, Seyed Reza Shahamiri, Asefeh Asemi, Narjes Houshangi · 2018 · Soft Computing
  4. Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder
    Chitralekha Ganapati Bhat, Biswajit Das, Bhavik B. Vachhani, Sunil Kumar Kopparapu · 2018 · Interspeech (USB)
  5. Dysarthric Speech Recognition using Convolutional Recurrent Neural Networks
    Hussain Albaqshi, Alaa Sagheer · 2020 · International journal of intelligent engineering and systems
  6. Generating synthetic dysarthric speech to overcome dysarthria acoustic data scarcity
    Andrew Hu, Dhruv Phadnis, Seyed Reza Shahamiri · 2021 · Journal of Ambient Intelligence and Humanized Computing
  7. Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis
    Juan Liu, Xiaoxia Du, Shangjun Lu, Yumei Zhang, Anming Hu, Manwa L. Ng, Rongfeng Su, Lan Wang, Nan Yan · 2022 · Biomedical Signal Processing and Control
  8. Community-Supported Shared Infrastructure in Support of Speech Accessibility
    Mark Hasegawa‐Johnson, Xiuwen Zheng, Heejin Kim, Clarion Mendes, Meg Dickinson, Erik Hege, Christopher E. Zwilling, Marie Moore Channell, Laura J. Mattie, Heather Hodges et al. · 2024 · Journal of Speech Language and Hearing Research
  9. Acoustic analysis of fricatives in dysarthric speakers with cerebral palsy
    Abner Hernandez, Ho-Young Lee, Minhwa Chung · 2019 · Phonetics and Speech Sciences
  10. Automatic Assessment of Dysarthric Severity Level Using Audio-Video Cross-Modal Approach in Deep Learning
    H. Tong, H. Sharifzadeh, I. Mcloughlin · 2020 · Interspeech
  11. Adversarial Data Augmentation Using VAE-GAN for Disordered Speech Recognition
    Zengrui Jin, Xurong Xie, Mengzhe Geng, Tianzi Wang, Shujie Hu, Jiajun Deng, Guinan Li, Xunying Liu · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
  12. Neural Architecture Search for LF-MMI Trained Time Delay Neural Networks
    Shoukang Hu, Xurong Xie, Mingyu Cui, Jiajun Deng, Shansong Liu, Jianwei Yu, Mengzhe Geng, Xunying Liu, Helen M. L. Meng · 2022 · IEEE/ACM Transactions on Audio Speech and Language Processing
  13. Speech Technology for Automatic Recognition and Assessment of Dysarthric Speech: An Overview
    Chitralekha Ganapati Bhat, Helmer Strik · 2025 · Journal of Speech Language and Hearing Research
  14. Tran-DSR: A hybrid model for dysarthric speech recognition using transformer encoder and ensemble learning
    Rabbia Mahum, Ahmed M. El‐Sherbeeny, Khaled Ali Alkhaledi, Haseeb Hassan · 2024 · Applied Acoustics
  15. Learning speaker-specific pronunciations of disordered speech
    Heidi Christensen, Phil Green, Thomas Hain · 2013 · Interspeech (USB)
  16. The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition
    Luke Prananta, Bence Mark Halpern, Siyuan Feng, Odette Scharenborg · 2022 · Interspeech (USB)
  17. Recognition of Dysarthric Speech Using Voice Parameters for Speaker Adaptation and Multi-Taper Spectral Estimation
    Bhat, Chitralekha, Vachhani, Bhavik, Kopparapu, Sunil · 2016 · Interspeech 2016
  18. Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech
    Pu Wang, Hugo Van hamme · 2023 · EURASIP Journal on Audio Speech and Music Processing
  19. Exploiting Cross-Domain Visual Feature Generation for Disordered Speech Recognition
    Shansong Liu, Xurong Xie, Jianwei Yu, Shoukang Hu, Mengzhe Geng, Rongfeng Su, Shixiong Zhang, Xunying Liu, Helen M. L. Meng · 2020 · Interspeech (USB)
  20. Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition
    Shansong Liu, Shoukang Hu, Yi Wang, Jianwei Yu, Rongfeng Su, Xunying Liu, Helen M. L. Meng · 2019 · Interspeech (USB)
  21. Breathiness Indices for Classification of Dysarthria Based on Type and Speech Intelligibility
    Chandrashekar H M, Veena Karjigi, N. Sreedevi · 2019 · International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
  22. Towards Identity Preserving Normal to Dysarthric Voice Conversion
    Wen-Chin Huang, Bence Mark Halpern, Lester Phillip Violeta, Odette Scharenborg, Tomoki Toda · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
  23. Dysarthria Speech Disorder Classification Using Traditional and Deep Learning Models
    Manju Suresh, Rajeev Rajan, Joshua Thomas · 2023 · International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
  24. Design and creation of Dysarthric Speech Database for development of QoLT software technology
    Dae-Lim Choi, Bong‐Wan Kim, Yong-Ju Lee, Yongnam Um, Minhwa Chung · 2011 · International Conference on Speech Database and Assessments
  25. Spectral features for automatic blind intelligibility estimation of spastic dysarthric speech
    Richard Hummel, Wai-Yip Chan, Tiago Henrique Falk · 2011 · Interspeech (USB)
  26. A New Method for Collection and Annotation of Speech Data of Atypically Developing Children
    Elena Lyakso, Olga V. Frolova, Alexey Anatolievich Karpov · 2018 · International Conference on Sensor Networks and Signal Processing (SNSP)
  27. Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility
    Parvaneh Janbakhshi, Ina Kodrasi, Hervé A. Bourlard · 2019 · Interspeech (USB)
  28. Collaborative AI Dysarthric Speech Recognition System With Data Augmentation Using Generative Adversarial Neural Network
    Yibo He, Kah Phooi Seng, Li-Minn Ang · 2025 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  29. AD-Child.Ru: Speech Corpus for Russian Children with Atypical Development
    Elena E. Lyakso, Olga V. Frolova, Arman Kaliyev, Viktor A. Gorodnyi, Aleksey Grigorev, Yuri N. Matveev · 2019 · Lecture notes in computer science
  30. On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification
    Ascensión Gallardo-Antolín, Juan Manuel Montero · 2021 · Neurocomputing
  31. A Few-Shot Approach to Dysarthric Speech Intelligibility Level Classification Using Transformers
    Paleti Nikhil Chowdary, Menta Sai Akshay, Vadlapudi Sai Aravind, Menta Sai Aashish, Gorantla V N S L Vishnu Vardhan, G. Jyothish Lal · 2023 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  32. Accurate synthesis of dysarthric Speech for ASR data augmentation
    Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry · 2024 · Speech Communication
  33. Recent advancements in automatic disordered speech recognition: A survey paper
    Nada Gohider, Otman Basir · 2024 · Natural Language Processing Journal
  34. Intelligibility Improvement of Dysarthric Speech using MMSE DiscoGAN
    Mirali Purohit, Maitreya Patel, Harshit Malaviya, Ankur T. Patil, Mihir Parmar, Nirmesh J. Shah, Savan Doshi, Hemant A. Patil · 2020 · International Conference on Signal Processing and Communications (SPCOM)
  35. Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition
    Mengzhe Geng, Shansong Liu, Jianwei Yu, Xurong Xie, Shoukang Hu, Zi Ye, Zengrui Jin, Xunying Liu, Helen M. L. Meng · 2021 · Interspeech (USB)
  36. Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach
    Ryoichi Takashima, Yuya Sawa, Ryo Aihara, Tetsuya Takiguchi, Yoshie Imai · 2024 · IEEE Access
  37. Automatic intelligibility assessment of dysarthric speech using glottal parameters
    N. P. Narendra, Paavo Alku · 2020 · Speech Communication
  38. Automatic speaker independent dysarthric speech intelligibility assessment system
    Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu · 2021 · Computer Speech & Language
  39. Histogram of States Based Assistive System for Speech Impairment Due to Neurological Disorders
    S. Chandrakala, S. Malini, S. Vishnika Veni · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  40. A Dutch Dysarthric Speech Database for Individualized Speech Therapy Research
    Emre Yılmaz, Mario Ganzeboom, Lilian J. Beijer, Catia Cucchiarini A, Helmer Strik · 2016 · Language Resources and Evaluation Conference (LREC)
  41. On the Use of Pitch Features for Disordered Speech Recognition
    Shansong Liu, Shoukang Hu, Xunying Liu, Helen M. L. Meng · 2019 · Interspeech (USB)
  42. A Novel Approach for Intelligibility Assessment in Dysarthric Subjects
    Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu · 2020 · IEEE International Conference on Acoustics Speech and Signal Processing
  43. Quantifying perturbations in temporal dynamics for automated assessment of spastic dysarthric speech intelligibility
    Tiago Henrique Falk, Richard Hummel, Wai-Yip Chan · 2011 · IEEE International Conference on Acoustics Speech and Signal Processing
  44. Exploiting Cross Domain Acoustic-to-Articulatory Inverted Features for Disordered Speech Recognition
    Hu, Shujie, Liu, Shansong, Xie, Xurong, Geng, Mengzhe, Wang, Tianzi, Hu, Shoukang, Cui, Mingyu, Liu, Xunying, Meng, Helen · 2022 · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  45. An Automatic Dysarthric Speech Recognition Approach using Deep Neural Networks
    Jun Ren, Mingzhe Liu · 2017 · International Journal of Advanced Computer Science and Applications
  46. A Review of Automated Intelligibility Assessment for Dysarthric Speakers
    Andy Huang, Kyle Hall, Catherine Inez Watson, Seyed Reza Shahamiri · 2021 · International Conference on Speech Technology and Human-Computer Dialogue (SpeD)
  47. Transfer Learning Using Whisper for Dysarthric Automatic Speech Recognition
    Siddharth Rathod, Monil Charola, Hemant A. Patil · 2023 · Lecture notes in computer science
  48. UNIT-DSR: Dysarthric Speech Reconstruction System Using Speech Unit Normalization
    Yuejiao Wang, Xixin Wu, Disong Wang, Lingwei Meng, Helen M. L. Meng · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  49. Enhancing dysarthric speech recognition through SepFormer and hierarchical attention network models with multistage transfer learning
    R Vinotha, D. Evangelin Hepsiba, L. D. Vijay Anand, J. Andrew, Jennifer Eunice R · 2024 · Scientific Reports
  50. Two-stage data augmentation for improved ASR performance for dysarthric speech
    Chitralekha Ganapati Bhat, Helmer Strik · 2025 · Computers in Biology and Medicine
  51. IDEA: An Italian Dysarthric Speech Database
    Marco Marini, Mauro Viganò, Massimo Corbo, Marina Zettin, Gloria Simoncini, Bruno Fattori, Clelia D’Anna, Massimiliano Donati, Luca Fanucci · 2021 · IEEE Spoken Language Technology Workshop (SLT)
  52. Sharing Practices for Datasets Related to Accessibility and Aging
    Kamikubo, Rie, Dwivedi, Utkarsh, Kacorri, Hernisa · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility
  53. An Investigation to Identify Optimal Setup for Automated Assessment of Dysarthric Intelligibility using Deep Learning Technologies
    Kyle Hall, Andy Huang, Seyed Reza Shahamiri · 2022 · Cognitive Computation
  54. Familiarization Effects on Word Intelligibility in Dysarthric Speech
    Heejin Kim, Suzanne Nanney · 2014 · Folia Phoniatrica et Logopaedica
  55. Dysarthric speech corpus in Tamil for rehabilitation research
    T. A. Mariya Celin, T. Nagarajan, Parthasarathy Vijayalakshmi · 2016 · IEEE Region 10 Conference (TENCON)
  56. Performance of Isolated and Continuous Digit Recognition System using Kaldi Toolkit
    2019 · International Journal of Recent Technology and Engineering (IJRTE)
  57. Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition
    Xurong Xie, Rukiye Ruzi, Xunying Liu, Lan Wang · 2021 · Interspeech (USB)
  58. Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil
    Eun Jung Yeo, Kwanghee Choi, Sunhee Kim, Minhwa Chung · 2022 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  59. RS-MSConvNet: A Novel End-to-End Pathological Voice Detection Model
    Wongsathon Pathonsuwan, Khomdet Phapatanaburi, Prawit Buayai, Talit Jumphoo, Patikorn Anchuen, Monthippa Uthansakul, Peerapong Uthansakul · 2022 · IEEE Access
  60. Improving automatic forced alignment for dysarthric speech transcription
    Yu Ting Yeung, Ka Ho Wong, Helen M. L. Meng · 2015 · Interspeech (USB)
  61. Familiarization Effects on Consonant Intelligibility in Dysarthric Speech
    Heejin Kim · 2015 · Folia Phoniatrica et Logopaedica
  62. Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation
    Disong Wang, Songxiang Liu, Xixin Wu, Hui Jing Lu, Lifa Sun, Xunying Liu, Helen M. L. Meng · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
  63. Disordered speech recognition considering low resources and abnormal articulation
    Yuqin Lin, Jianwu Dang, Longbiao Wang, Sheng Li, Chenchen Ding · 2023 · Speech Communication
  64. A Voice User Interface on the Edge for People with Speech Impairments
    Davide Mulfari, Massimo Villari · 2024 · Electronics
  65. A Study on The Impact of Self-Supervised Learning on Automatic Dysarthric Speech Assessment
    Xavier F. Cadet, Ranya Aloufi, Sara Ahmadi‐Abhari, Hamed Haddadi · 2024 · IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
  66. Integrating binary classification and clustering for multi-class dysarthria severity level classification: a two-stage approach
    Afnan Al-Ali, Raseena M. Haris, Younes Akbari, Moutaz Saleh, Somaya Ali Al-Maadeed, Rajesh Kumar M · 2024 · Cluster Computing
  67. Graph Neural Networks for Parkinson’s Disease Detection
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  68. Generative Model-Driven Feature Learning for dysarthric speech recognition
    N. Rajeswari, S. Chandrakala · 2016 · Journal of Applied Biomedicine
  69. Improving Recognition of Dysarthric Speech Using Severity Based Tempo Adaptation
    Chitralekha Ganapati Bhat, Bhavik B. Vachhani, Sunil Kumar Kopparapu · 2016 · Lecture notes in computer science
  70. PRAUTOCAL corpus: a corpus for the study of Down syndrome prosodic aspects
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  71. Neural network-based multi-view enhanced multi-learner active learning: theory and experiments
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  72. Optimising Speaker-Dependent Feature Extraction Parameters to Improve Automatic Speech Recognition Performance for People with Dysarthria
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  73. Seamless equal accuracy ratio for inclusive CTC speech recognition
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  74. Exploiting Audio-Visual Features with Pretrained AV-HuBERT for Multi-Modal Dysarthric Speech Reconstruction
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  75. Adaptive speech recognition and dialogue management for users with speech disorders
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  76. Speech Intelligibility Classifiers from 550k Disordered Speech Samples
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  77. Improved acoustic modeling for automatic dysarthric speech recognition
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  78. Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make
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  79. An Auditory Saliency Pooling-Based LSTM Model for Speech Intelligibility Classification
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  80. Dysarthric Speech Database for Development of QoLT Software Technology
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  81. An overview of high-resource automatic speech recognition methods and their empirical evaluation in low-resource environments
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  82. Dysarthric speech recognition: an investigation on using depthwise separable convolutions and residual connections
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  83. Towards Automatic Data Augmentation for Disordered Speech Recognition
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  84. Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition
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  85. Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion
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  86. Comparative analysis of Dysarthric speech recognition: multiple features and robust templates
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  87. Dysarthric Speech Conformer: Adaptation for Sequence-to-Sequence Dysarthric Speech Recognition
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  88. Empowering Dysarthric Communication: Hybrid Transformer-CTC-Based Speech Recognition System
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  89. Automatic Speech Recognition: A Shifted Role in Early Speech Intervention
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  90. Speech intelligibility assessment of dysarthria using Fisher vector encoding
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  91. Residual Convolutional Neural Network-Based Dysarthric Speech Recognition
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  93. Automatic Pathological Speech Intelligibility Assessment Exploiting Subspace-Based Analyses
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  95. Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies
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  96. Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels
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  97. Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria
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  98. Review on Dysarthric Speech Severity Level Classification Frameworks
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  99. Constant Q Cepstral Coefficients for Automatic Speaker Verification System for Dysarthria Patients
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  100. Improving Severity Preservation of Healthy-to-Pathological Voice Conversion With Global Style Tokens
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