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 301–398 of 398

  1. Isolated Word Classification of Hearing Impaired Speech Using Time–Frequency Representations
    Y. A. Goutham, T. S. Himasagar, Veena Karjigi, Chandrashekar H M, N. Sreedevi · 2025 · Circuits Systems and Signal Processing
  2. Enhancing ASR Accuracy for Speakers with Parkinson’s Disease Using Instruction-Tuned LLMs
    Abner Hernandez, Tomás Arias‐Vergara, Andreas Maier, Paula Andrea Pérez-Toro · 2025 · Lecture notes in computer science
  3. Dysarthic Severity-Level Classification and Speaker Identification in Mono-Lingual and Cross-Lingual Mode
    Kavya Kumar, Arth J. Shah, Hemant A. Patil · 2025 · International Conference on Asian Language Processing
  4. Enhancement of Dysarthric Speech Reconstruction by Contrastive Learning
    Fatemeh Keshvari, Rahil Mahdian Toroghi, Hassan Zareian · 2025 · Lecture notes in networks and systems
  5. DAU-KDAH Dysarthic Multi-Lingual and Multimodal Speech Corpora for Indic Languages
    Arth J. Shah, Hiya Chaudhari, Kavya Kumar, Arushi Srivastava, Priya J. Kaple, Ravindrakumar M. Purohit, Dharmendra H. Vaghera, Bhavna Singh, Aparna Walanj, Abhishek Srivastava et al. · 2025 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  6. Empowering dysarthric communication: a self-supervised approach to keyword spotting
    Subham Kutum, Paban Sapkota, Abhijit Sinha, Hemant Kumar Kathania, Mahesh Chandra Govil · 2025 · Signal Image and Video Processing
  7. Characterizing stroke-affected speech using F0 and duration-based features
    M. V. S. Jyothi, Oindrila Banerjee, D. Govind, K. Samudravijaya, Akhilesh Kumar Dubey, Suryakanth V. Gangashetty, U.K. Rakesh, A. Rajeev, Jagabandhu Mishra · 2026 · Scientific Reports
  8. Robust Dysarthria Detection and Severity Classification Framework Using Multifeature Speech Representations and Deep Learning Models
    Anshuma Ranjith, Jyothish Lal G, B. Premjith · 2025 · IEEE India Conference
  9. Towards automating the Frenchay dysarthria assessment: Can neural phoneme posteriorgrams inform the analysis of dysarthric speech?
    Wing-Zin Leung, Heidi Christensen, Stefan Goetze · 2026 · Speech Communication
  10. Time vs. Layer: Locating Predictive Cues for Dysarthric Speech Descriptors in Wav2vec 2.0
    Natalie Engert, Dominik Wagner, Korbinian Riedhammer, Tobias Bocklet · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  11. Variational Low-Rank Adaptation for Personalized Impaired Speech Recognition
    Niclas Pokel, Pehuén Moure, Roman Boehringer, Shih‐Chii Liu, Yingqiang Gao · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  12. Deep Learning based Dysarthric Speech Recognition using Spectral, Temporal, and Phonetic Acoustic Features
    Namita Kure, Somnath B. Dhonde · 2026 · International Conference on Smart Futuristic Technology (SMARTTECH)
  13. Dysarthric Speech Characterization and Classification Based on Affinity Propagation
    Komal Bharti, Sandeep Agri, Pradip K. Das · 2023 · Lecture notes in electrical engineering
  14. Experimental Results of CNN and RNN Models for Identification of Parkinson’s Disease
    M. Mahendran, R. Visalakshi · 2023 · International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI)
  15. A Study of Speech Recognition Techniques for Dysarthria Speeches Based on Digit Recognition
    Jianxing Yang, Hongxiao Guo, Xin Xu, Hui Bu · 2024 · International Conference on Electronic Communication and Artificial Intelligence (ICECAI)
  16. A Fine-Tuned Transformer Model for Dysarthric Speech with Spectrograms
    Sireesha Chittepu, K Raghavendra Asish, R. Manjula · 2024 · IEEE World Conference on Applied Intelligence and Computing (AIC)
  17. Transformer-based Transfer Learning for Enhanced Speech Dysarthria Severity Assessment
    Anjali Manoj, Velaga Lakshman, Akash Kamuju, Venu Pulagam, G. Jyothish Lal · 2024 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  18. Linear Frequency Residual Cepstral Features for Dysarthria Severity Classification
    Aditya Pusuluri, Hemant A. Patil · 2024 · Lecture notes in computer science
  19. Cross-Domain Few-Shot Open-Set Keyword Spotting Using Keyword Adaptation and Prototype Reprojection
    Mingru Yang, Qianhua He, Jinxin Huang, Yongqiang Chen, Zunxian Liu, Yanxiong Li · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  20. Dysarthric Speech Intelligibility Assessment by Custom Keyword Spotting
    M Anuprabha, Krishna Gurugubelli, Anil Kumar Vuppala · 2025 · IEEE Journal of Selected Topics in Signal Processing
  21. "I'm Having Trouble Understanding You Right Now": A Multi-Dimensional Evaluation of the Intelligibility of Dysphonic Speech
    Meredith Moore · 2020
  22. Learning to detect dysarthria from raw speech
    Juliette Millet, Neil Zeghidour · 2018 · arXiv (Cornell University)
  23. Acoustic model adaptation for recognition of dysarthric speech
    Harsh Vardhan Sharma · 2012 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
  24. Optimized spectral floor in multi-band spectral subtraction for dysarthric speech recognition
    Ankita N. Chadha, Mukesh A. Zaveri, Jignesh N. Sarvaiya · 2017 · International Conference on Signal Processing and Integrated Networks (SPIN)
  25. Modifying Dysarthric Vowels using Formant Transformation Technique and Vowels Synthesis
    Divya, Veena Karjigi · 2018 · Journal of Emerging Technologies and Innovative Research
  26. Processamento de fala para triagem de distúrbios fonológicos
    Guilherme Jun Yoshimura · 2020
  27. Analysis of Unintelligible Speech for MLLR and MAP-Based Speaker Adaptation
    V Balaji, G. Sadashivappa · 2021 · Communications in computer and information science
  28. Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization
    Disong Wang, Liqun Deng, Yu Ting Yeung, Chen, Xiao, Xunying Liu, Helen M. L. Meng · 2021 · arXiv (Cornell University)
  29. Correlation of acoustic features of pitch/rhythm/power and perceptual impressions after singing training for people with dysarthria
    Maki Nanahara, Kazumasa Yamamoto, Seiichi Nakagawa · 2021 · Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi
  30. Intelligibility Assessment of Dysarthric Speech Using Extreme Learning Machine
    Chandrashekar H M, Veena Karjigi, N. Sreedevi · 2022 · International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
  31. Neural Network Based Curve Fitting to Enhance the Intelligibility of Dysarthric Speech
    Pavithra K S, Chandrashekar H M, Veena Karjigi · 2022 · Lecture notes in computer science
  32. Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessment
    Aref Farhadipour, Hadi Veisi · 2023 · SSRN Electronic Journal
  33. Reconhecimento de comandos de voz com e sem disartria usando extração de características da fala MFCC e algoritmos de aprendizagem de máquina
    Jordana Leandro Seixas, Ailton Leite, Rodrigo de Paula, Sergio Murilo Maciel Fernandes · 2023
  34. The use of qualitative analysis of data to the diagnosis of Dysarthria
    Mahesh P. Giri, Neela Rayavarapu · 2023 · AIP conference proceedings
  35. SNR-Selection-Based-Data Augmentation for Dysarthric Speech Recognition
    Sarkhell Sirwan Nawroly, Decebal Popescu, T. A. Mariya Celin, Actlin Jeeva MUTHU PHILOMINAL · 2023 · Studies in Informatics and Control
  36. Detecting Speech Abnormalities With a Perceiver-Based Sequence Classifier that Leverages a Universal Speech Model
    Hagen Soltau, Izhak Shafran J, Alex Ottenwess, Joseph R. Duffy, Rene L. Utianski, Leland R Barnard, John L. Stricker, Daniela A. Wiepert, David Thomas Jones, Hugo Botha · 2023 · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
  37. Enhancing Speech Assistive Systems Through a Sequence-to-Vector Representation Approach for Disordered Speech
    S. Vishnika Veni, B. Santhi · 2024 · International Journal of Artificial Intelligence Tools
  38. Gaussian Mixture Model of Formants Transformation Technique for Dysarthric Speech Vowels
    S V Sunitha, Ashwini S Savanth, T Sarala, K Thanishka · 2024 · SSRN Electronic Journal
  39. Digit Classification System for Normal and Pathological Speech
    Y. A. Goutham, T. S. Himasagar, G S Likhith, Nagendra Gowda, Veena Karjigi, Chandrashekar H M · 2024 · International Conference on Smart Systems for Applications in Electrical Sciences (ICSSES)
  40. Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation
    Abner Hernandez, Paula Andrea Pérez-Toro, Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, Seung Hee Yang, Juan Rafael Orozco‐Arroyave, Andreas Maier · 2024 · Lecture notes in computer science
  41. Fusion of Multiple Audio Descriptors for the Recognition of Dysarthric Speech
    Komal Bharti, Pradip K. Das · 2024 · International Conference on Speech Database and Assessments
  42. Summary of Low-Resource Dysarthria Wake-Up Word Spotting Challenge
    Ming Gao, Hang Chen, Jun Du, Xin Xu, Hongxiao Guo, Hui Bu, Ming Li, Chin‐Hui Lee · 2024 · IEEE Spoken Language Technology Workshop (SLT)
  43. Comparative Analysis of Glottal and Vocal Tract Features in Dysarthria
    Geeta Sai Sahasra, Kadwasra Swapna, Arushi Srivastava, Aditya Pusuluri, Hemant A. Patil · 2024 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  44. Feature Extraction Method Based on Contrastive Learning for Dysarthria Detection
    Yudong Yang, Xinyi Wu, Xiaokang Liu, Juan Liu, Jingdong Zhou, Rennan Wang, Xin Wang, Rongfeng Su, Nan Yan, Lan Wang · 2025 · Lecture notes in computer science
  45. Using Embeddings of Pre-trained Models for Cross-Database Dysarthria Detection: Supervised vs. Self-supervised Approach
    Sally Ismail, Margarita Anastassova, Mehdi Boukallel, Christian Bolzmacher, Mehdi Ammi · 2025 · Lecture notes in computer science
  46. FBSE-FTFCWT-Based Novel Automated Framework for Dysarthric Speech Detection
    A. S. Vijay, Ram Bilas Pachori, Balasubramanyam Appina, Nitya Tiwari · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
  47. Speech Pathology Classification
    Spyridon Drakakis, Athina Gourou, Samouil Pratzioti, Constantine L. Kotropoulos · 2024 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
  48. Significance of magnitude and phase components for intelligibility assessment of pathological speech
    Chandrashekar H M, Veena Karjigi, N. Sreedevi · 2025 · International Journal of Speech Technology
  49. Acquiring Knowledge for Mimicking Dysarthric Speech by Incorporating Its Features into Synthetic Speech
    Tomasz Piernicki, Gražina Korvel, Bożena Kostek · 2025 · Studies in computational intelligence
  50. Dysarthric Speech Data Augmentation using Generative Adversarial Networks
    Namita Kure, S. B. Dhonde · 2025 · International Conference for Emerging Technology (INCET)
  51. Symmetry-Breaking Lie Flows for Optimisation of Discontinuous Functionals
    Mikhail Osipov · 2025 · International Journal of Applied Physics and Mathematics
  52. Improving Ml-Based Dysarthria Detection in Speech by Variation of Acoustic Features
    Lojaine Amr Elghandour, Yomna M.I. Hassan · 2025 · International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)
  53. Speaker-dependent Continuous Speech Recognition for Individuals with Cerebral Palsy Using Weighted Finite-State Transducer and Text-to-Speech Synthesis
    Takeru Otani, Ryo Aihara, Ryoichi Takashima, Tetsuya Takiguchi, Tatsuhiko Saito · 2025 · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)
  54. Speech Pattern Variability in the Speech Accessibility Project
    Heejin Kim, Clarion Mendes, Mark Hasegawa‐Johnson, Lorraine O. Ramig · 2025 · Communications in computer and information science
  55. Beyond Binary Detection: Multi-Etiology Dysarthria Classification with Pre-Trained Speech Models
    Zihan Zhong, Qianli Wang, Satwinder Singh, Clarion Mendes, Mark Hasegawa‐Johnson, Waleed Habib Abdulla, Seyed Reza Shahamiri · 2025 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  56. Glottal Inverse Filtering and Its Application in the Automatic Classification of Diseases from Speech
    Paavo Alku, Ramón Hernández Villoria, Sneha Das · 2026 · Springer eBooks
  57. Zero and One-Shot Data Augmentation for Sentence-Level Dysarthric Speech Recognition in Constrained Scenarios
    Shiyao Wang, Shiwan Zhao, Jiaming Zhou, Yong Qin · 2026 · Communications in computer and information science
  58. An exhaustive examination of automatic speech recognition
    Mithun Bangalore Narasimha Murthy, Deepak Nalini Ramakrishnappa, Benakanahalli Puttappa Pradeep Kumar, Puneeth Ramanjaneya, Anoop Ganadalu Lingaraju, Shivamurthaiah Mallaiah · 2026 · AIP conference proceedings
  59. Severity-Controllable Pathological Text-to-Speech Synthesis for Clinical Applications
    Bence Mark Halpern, Wen-Chin Huang, Lester Phillip Violeta, Tomoki Toda · 2026 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  60. A Multifaceted Approach Based on Deep Learning Architectures for Dysarthric Speech Recognition
    Belabbas Soumeya, Djamel Addou, Selouani Sid Ahmed · 2025 · International Conference on Intelligent Computer Systems, Data Science and Applications (IC2SDA)
  61. Source and filter characteristics based transfer learning for dysarthria severity classification in amyotrophic lateral sclerosis
    Tanuka Bhattacharjee, Yamini Keshavaprasad Belur, Atchayaram Nalini, Prasanta Kumar Ghosh · 2026 · Speech Communication
  62. Advancing Dysarthric Speech-to-Text Recognition with LATTE: A Low-Latency Acoustic Modeling Approach for Real-Time Communication
    Qurat Ul Ain, Hammad Afzal, Fazli Subhan, Mazliham Mohd Su’ud, Younhyun Jung · 2026 · Big Data
  63. Addressing Dysarthric Speech Variability with Severity-Aware Fine-Tuning of Transformer-Based Wav2vec2 ASR Models
    Paban Sapkota, Hemant Kumar Kathania, Shrikanth Narayanan, Sudarsana Reddy Kadiri · 2026 · Circuits Systems and Signal Processing
  64. Machine Learning Based Identification of Key Features for Misarticulation Quantification
    Anushri Pratik Ghadge, S.P. Mahajan · 2025 · IEEE Pune Section International Conference (PuneCon)
  65. Leveraging Large Language Models for Atypical Speech Recognition
    Rachna Mohapatra, Vedant Singh, Anisha Natarajan · 2025 · IEEE India Conference
  66. Poster: Privacy-aware dysarthria classification
    Bhawana Chhaglani, Tanvi Kandepuneni, Prashant J. Shenoy · 2026 · IEEE Workshop on Mobile Computing Systems and Applications (WMCSA)
  67. Learning representations of speech from the raw waveform
    Neil Zeghidour · 2019 · theses.fr (ABES)
  68. Development of Hybrid Feature Based Models for Dysarthric Speech Recognition
    Faila Nadhifatul Aryza, Syahroni Hidayat · 2026 · International Journal of Online and Biomedical Engineering (iJOE)
  69. CLARIS: Clear and Intelligible Speech from Whispered and Dysarthric Voices
    Neil Shah, Yash Sonkar, Shirish Subhash Karande, Vineet Gandhi · 2026 · CHI Conference on Human Factors in Computing Systems
  70. Fusion of Data Augmentation for Improved Dysarthria Severity Classification
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  71. SS-JDSC: Single-Speaker Japanese Dysarthric Speech Corpus
    Asahi Ogasawara, Shinnosuke Takamichi, Yang Jianing, Go Suenaga, Yiyu Tan · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  72. FinHuBERT: Hierarchical Feature Imitating Networks for Low-Resource Speech Recognition
    Kavan Fatehi, Amir Shirian, Erfan Loweimi · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  73. PhoenixDSR: Phoneme-Guided and LLM-Enhanced Dysarthric Speech Recognition
    Yuxuan Wu, Yifan Xu, Junkun Wang, Xin Zhao, Jiayong Jiang, Zhaojie Luo · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  74. How dysarthria severity influences speech recognition in cerebral palsy
    Amlu Anna Joshy, P N Parameswaran, S Janardan, T K Thejaswitha, Rajeev Rajan · 2026 · Journal of Neurolinguistics
  75. Attention-Guided Acoustic Normalization of Parkinsonian Dysarthric Speech with Cross-Vocoder Evaluation
    Sneha P M, Vinodhini K, Justin Dhas Y · 2026 · International Conference on Pervasive Computing and Social Networking (ICPCSN)
  76. Voice, Speech, and Large Language Models in Neurology: From Acoustic Biomarkers to Conversational AI
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  77. HuBERT based Deep Learning Framework for Automated Severity Assessment of Dysarthric Speech
    Arun Kumar S, Kevin Rahul K, Rosan Karthik R M, Sangeethkumar N, Sathish Kumar M · 2026 · IEEE Nexo-Tech International Conference on Advanced Technologies and Innovations (ICATI)
  78. Demonstration of Adapt4Me: An Uncertainty-Aware Authoring Environment for Personalizing Automatic Speech Recognition to Non-normative Speech
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  79. SpeakEZ: Self Supervised Feature Extractor Based Dysarthric ASR System
    Satyam Tiwari, Krish Tejani, Akshar Prajapati, Dipali Kasat · 2026 · International Conference on Speech, Multimodal and Advanced Communication Systems (ICSMACS)
  80. Pronunciation Based Intelligibility Assessment of Dysarthric Speech
    Komal Bharti, Ashita Batra, Pradip K. Das, Hemant A. Patil · 2026 · International Conference on Signal Processing and Communications (SPCOM)
  81. Multilingual dysarthria detection and severity classification using layer-wise embeddings from self-supervised speech models
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  82. Abnormal Speech Restoration of Speech Impairments in an Individual Using Deep Learning
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  83. Dissecting gated recurrent units for speech disorder classification: gate-level analysis and lightweight design for efficient pathological voice modeling
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  84. Cross-Database Performance of Speech-Based Graph Neural Networks for Parkinson’s Disease Detection
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  85. SofiaFala ECOA: A Framework for Multimodal Corpora Construction for Speech Disorder Analysis and Assistive AI Systems
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  86. Jamo-CTC transcription and rule-based phonological error taxonomy for automated U-TAP1 scoring in Korean dysarthric speech
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  87. Hybrid MFCC–HHT modeling for dysarthria and severity-level classification
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  88. Non-Parallel Dysarthric Speech Enhancement Using CycleGAN-VC2 and Melgan with Ablation Validation
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  89. Cross-Lingual Dysarthria Detection: Rigorous Evaluation Methodology and Transfer Analysis Across Four Languages
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  90. Prosodic Features for Classification of Normal vs. Dysarthric Speech
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  91. VocalPlan-AV: A Two-Stage Audio-Visual Framework for Dysarthric ASR Using Vocal-Plan Reconstruction
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  92. Towards inclusive voice biometrics: Dysarthria-discriminative embeddings for ASV system
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  93. From Single Modality to Multimodality in Dysarthric Speech Recognition: A Systematic Scoping Review
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  94. LiCA: Text-Independent Linguistic Content Alignment for End-to-End Mandarin Dysarthric Voice Conversion
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  95. An artificial intelligence-based audio recognition system for dysarthria home-based rehabilitation: A proof-of-concept study
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  96. Assessing Dysarthric Speech Intelligibility via Generative Augmentation and Self-supervised Linguistic Representations
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  97. Improving dysarthric speech classification with generative AI-based data augmentation
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  98. Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review
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