Dysarthric Speech Recognition

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Overview

Dysarthric speech recognition studies how to transcribe speech whose timing, articulation, and acoustics differ from typical speech, supporting communication and access to speech technology. Common approaches adapt pretrained models such as Whisper or wav2vec models to individual speakers, using fine-tuning or parameter-efficient methods such as LoRA; other work augments scarce training data with acoustic transformations or synthetic speech. Systems are evaluated with word or character error rates on datasets such as TORGO and UA-Speech, often across severity levels and speakers. Personalization can substantially improve accuracy, but collecting enough speaker-specific data while maintaining performance across speakers, conditions, and datasets remains a central challenge.

Latest papers

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14 papers2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Advancing Sentence-Level Dysarthric Audio-Visual Speech Recognition via Test-Time Adaptation

    Oct 16, 2026Shiyao Wang, Hui Wang, Jiaming Zhou +2Dysarthric Speech RecognitionAudio-Visual Speech Recognition

    Academy for Advanced Interdisciplinary Studies, Nankai University, Tianjin, China

  2. Personalized Automatic Speech Recognition for a Dysarthric and Tracheostomic Speaker using Artificial Conversations

    Oct 2, 2026David Nadrchal, Monorama Swain, Florian Schmid +2Personalized Speech RecognitionAutomatic Speech Recognition

    Institute of Computational Perception (CP-JKU) Johannes Kepler University Linz Linz, Austria

  3. Choosing a PEFT Variant for Per-Patient Dysarthric ASR: A Single-Speaker Case Study on Two ASR Bases

    Sep 2, 2026Bernard Muller, László Tóth, LaVonne RobertsAutomatic Speech RecognitionParameter-Efficient Fine-Tuning

    The Scott-Morgan Foundation, Torquay, United Kingdom · Institute of Informatics, University of Szeged, Szeged, Hungary

  4. Analyzing Speech Condition Effects in Dysarthric ASR: A Layer-wise Probing Study

    Aug 3, 2026Darwin Jelestin Muthu, Navya Gupta, Wei Lin Tay +3Speech ProcessingLow-Resource Speech Recognition

    Singapore Institute of Technology

  5. Adapting Foundation ASR Models to Dysarthric Speech: A Case Study

    Jun 30, 2026Christian Huber, Laura Kernahan, Alexander WaibelPersonalized Speech RecognitionAutomatic Speech Recognition

    Interactive Systems Lab Karlsruhe Institute of Technology Karlsruhe, Germany · Interactive Systems Lab Carnegie Mellon University Pittsburgh PA, USA

  6. Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study

    Jun 29, 2026Yuanyuan Zhang, Dimme de Groot, Jorge Martinez +1ASR EvaluationPersonalized Speech Recognition

    Multimedia Computing Group Delft University of Technology Delft, the Netherlands

  7. Low-Burden Data Augmentation for Dysarthric ASR via Zero-Shot Voice Cloning

    Jun 18, 2026Satwinder Singh, Qianli Wang, Zihan Zhong +4Synthetic Data AugmentationAutomatic Speech Recognition

    DeepNet Discovery Network, University of Auckland, New Zealand · University of Illinois Urbana-Champaign, USA

  8. Improving End-to-End Speech Recognition for Dysarthric Speech through In-Domain Data Augmentation

    Jun 18, 2026Paban Sapkota, Hemant Kumar Kathania, Sudarsana Reddy Kadiri +1Data AugmentationAutomatic Speech Recognition

    Department of Electronics and Communication Engineering, National Institute of Technology Sikkim, India · Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles, USA

  9. Systematic Study of Dysarthric Speech Recognition: Spectral Features and Acoustic Models

    Jun 18, 2026Paban Sapkota, Hemant Kumar Kathania, Mikko Kurimo +2Automatic Speech RecognitionDysarthric Speech Recognition

    Department of Electronics and Communication Engineering, National Institute of Technology Sikkim, India. · Department of Information and Communications Engineering, Aalto University, Finland. · Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles, USA.

  10. Cross-Dataset, Age, and Gender Generalization: A Comprehensive Analysis of Fine-Tuning Strategies for Low-Resource Children's ASR

    Jun 18, 2026Abhijit Sinha, Hemant Kumar Kathania, Sudarsana Reddy Kadiri +1Speech ProcessingAutomatic Speech Recognition

    Department of Electronics and Communication Engineering, National Institute of Technology Sikkim, India · Signal Analysis and Interpretation Laboratory, University of Southern California, Los Angeles, USA

  11. Towards Personalized Federated Learning for Dysarthric Speech Recognition

    Jun 11, 2026Tao Zhong, Mengzhe Geng, Jiajun Deng +2Federated Learning AggregationAutomatic Speech Recognition

    The Chinese University of Hong Kong, China · National Research Council Canada, Canada

  12. When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition

    May 4, 2026Pehuén Moure, Niclas Pokel, Bilal Bounajma +4Audio-Language Model EvaluationASR Evaluation

    Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland · Department of Mathematics, ETH Zurich, Switzerland · Department of Computational Linguistics, University of Zurich, Switzerland

  13. Two-Stage Adaptation for Non-Normative Speech Recognition: Revisiting Speaker-Independent Initialization for Personalization

    Mar 16, 2026Shan Jiang, Jiawen Qi, Chuanbing Huo +2Automatic Speech RecognitionDomain Adaptation for ASR

    Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands · Penobscot Community Health Care, United States · Department of Computational Linguistics, University of Zurich, Switzerland

  14. DARS: Dysarthria-Aware Rhythm-Style Synthesis for ASR Enhancement

    Mar 2, 2026Minghui Wu, Xueling Liu, Jiahuan Fan +3Synthetic Data Augmentation for Speech RecognitionTTS Synthesis

    University of Science and Technology of China, China · iFlytek Co., Ltd., China · Huawei Technology, China