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Related papers: A Multilingual Framework for Dysarthria: Detection…

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Dysarthria is a motor speech disorder caused by neurological damage that affects the muscles used for speech production, leading to slurred, slow, or difficult-to-understand speech. It affects millions of individuals worldwide, including…

Computation and Language · Computer Science 2024-10-18 Kaushal Attaluri , Anirudh CHVS , Sireesha Chittepu

Purpose: Speech intelligibility is a critical outcome in the assessment and management of dysarthria, yet most research and clinical practices have focused on English, limiting their applicability across languages. This commentary…

Computation and Language · Computer Science 2025-05-09 Eunjung Yeo , Julie Liss , Visar Berisha , David Mortensen

Dysarthria, a motor speech disorder, severely impacts voice quality, pronunciation, and prosody, leading to diminished speech intelligibility and reduced quality of life. Accurate assessment is crucial for effective treatment, but…

Sound · Computer Science 2024-12-18 Eunjung Yeo

Automatic detection and severity assessment of dysarthria are crucial for delivering targeted therapeutic interventions to patients. While most existing research focuses primarily on speech modality, this study introduces a novel approach…

Artificial Intelligence · Computer Science 2025-04-29 Anuprabha M , Krishna Gurugubelli , V Kesavaraj , Anil Kumar Vuppala

Dysarthria is a speech disorder that hinders communication due to difficulties in articulating words. Detection of dysarthria is important for several reasons as it can be used to develop a treatment plan and help improve a person's quality…

Dysarthria is a neurological speech disorder that can significantly impact affected individuals' communication abilities and overall quality of life. The accurate and objective classification of dysarthria and the determination of its…

Dysarthria, a motor speech disorder, affects intelligibility and requires targeted interventions for effective communication. In this work, we investigate automated mispronunciation feedback by collecting a dysarthric speech dataset from…

Audio and Speech Processing · Electrical Eng. & Systems 2025-06-03 Seohyun Park , Chitralekha Gupta , Michelle Kah Yian Kwan , Xinhui Fung , Alexander Wenjun Yip , Suranga Nanayakkara

Dysarthria, a condition resulting from impaired control of the speech muscles due to neurological disorders, significantly impacts the communication and quality of life of patients. The condition's complexity, human scoring and varied…

Neurons and Cognition · Quantitative Biology 2024-03-05 Lauren Stumpf , Balasundaram Kadirvelu , Sigourney Waibel , A. Aldo Faisal

Dysarthria is a speech disorder characterized by impaired intelligibility and reduced communicative effectiveness. Automatic dysarthria assessment provides a scalable, cost-effective approach for supporting the diagnosis and treatment of…

Audio and Speech Processing · Electrical Eng. & Systems 2025-11-05 Kaimeng Jia , Minzhu Tu , Zengrui Jin , Siyin Wang , Chao Zhang

Dysarthria is malfunctioning of motor speech caused by faintness in the human nervous system. It is characterized by the slurred speech along with physical impairment which restricts their communication and creates the lack of confidence…

Sound · Computer Science 2015-06-09 Megha Rughani , D. Shivakrishna

Dysarthria is a condition which hampers the ability of an individual to control the muscles that play a major role in speech delivery. The loss of fine control over muscles that assist the movement of lips, vocal chords, tongue and…

Sound · Computer Science 2021-03-11 Ayush Tripathi , Swapnil Bhosale , Sunil Kumar Kopparapu

Hypernasality is a common characteristic symptom across many motor-speech disorders. For voiced sounds, hypernasality introduces an additional resonance in the lower frequencies and, for unvoiced sounds, there is reduced articulatory…

Audio and Speech Processing · Electrical Eng. & Systems 2020-09-14 Michael Saxon , Ayush Tripathi , Yishan Jiao , Julie Liss , Visar Berisha

The growing prevalence of neurological disorders associated with dysarthria motivates the need for automated intelligibility assessment methods that are applicalbe across languages. However, most existing approaches are either limited to a…

Computation and Language · Computer Science 2026-02-12 Eunjung Yeo , Julie M. Liss , Visar Berisha , David R. Mortensen

Dysarthria is a neurological disorder that significantly impairs speech intelligibility, often rendering affected individuals unable to communicate effectively. This necessitates the development of robust dysarthric-to-regular speech…

Sound · Computer Science 2025-06-23 Shoutrik Das , Nishant Singh , Arjun Gangwar , S Umesh

Dysarthric speech severity assessment typically requires trained clinicians or supervised models built from labelled pathological speech, limiting scalability across languages and clinical settings. We present a training-free method that…

Computation and Language · Computer Science 2026-04-14 Bernard Muller , Antonio Armando Ortiz Barrañón , LaVonne Roberts

This study explores voice cloning to generate synthetic speech replicating the unique patterns of individuals with dysarthria. Using the TORGO dataset, we address data scarcity and privacy challenges in speech-language pathology. Our…

Sound · Computer Science 2025-03-04 Birger Moell , Fredrik Sand Aronsson

Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility through slow, uncoordinated control of speech production muscles. Automatic Speech recognition (ASR) systems may help dysarthric talkers communicate…

Audio and Speech Processing · Electrical Eng. & Systems 2022-01-28 Mohammad Soleymanpour , Michael T. Johnson , Rahim Soleymanpour , Jeffrey Berry

We present a voice conversion framework that converts normal speech into dysarthric speech while preserving the speaker identity. Such a framework is essential for (1) clinical decision making processes and alleviation of patient stress,…

Dysarthria is a motor speech impairment affecting millions of people. Dysarthric speech can be far less intelligible than those of non-dysarthric speakers, causing significant communication difficulties. The goal of our work is to develop a…

Audio and Speech Processing · Electrical Eng. & Systems 2020-01-14 Seung Hee Yang , Minhwa Chung

Automated dysarthria detection and severity assessment from speech have attracted significant research attention due to their potential clinical impact. Despite rapid progress in acoustic modeling and deep learning, models still fall short…

Audio and Speech Processing · Electrical Eng. & Systems 2025-10-28 Krishna Gurugubelli
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