Diagnosis of pathological speech with streamlined features for long short-term memory learning

Pham, Tuan D.; Holmes, Simon B.; Zou, Lifong; Patel, Mangala; Coulthard, Paul

doi:10.1016/j.compbiomed.2024.107976

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Cited by 4 publications

References 31 publications

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MSDFEN: Multi-scale dynamic feature extraction network for pathological voice detection

Dai,

Jiang,

Cao

et al. 2025

Applied Acoustics

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MSDFEN: Multi-scale dynamic feature extraction network for pathological voice detection

Dai,

Jiang,

Cao

et al. 2025

Applied Acoustics

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Improving Voice Pathology Classification Using Artificial Data Generation

Jirsa,

Verde,

Marulli

et al. 2024

Procedia Computer Science

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Review of voice biomarkers in the screening of neurodegenerative diseases

Chen,

Li,

Han

et al. 2024

Interdisciplinary Nursing Research

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Neurodegenerative diseases significantly impact patients and their families, making early identification crucial for improving patients’ quality of life and reducing care burdens. Current screening methods for neurodegenerative diseases, such as dementia and mild cognitive impairment, still rely on subjective assessments or expensive techniques like invasive cerebrospinal fluid analysis and magnetic resonance imaging. These factors make early identification challenging. Voice biomarkers present a promising alternative as convenient, non-invasive, and low-cost screening tools. With the application and development of artificial intelligence and big data, the prediction and screening of neurodegenerative diseases based on voice data have become a research focus. This article reviews the progress in voice biomarkers for neurodegenerative diseases screening and classification. It summarizes relevant studies on both single and multimodal data, identifies existing challenges, and suggests future research directions to enhance the application of voice biomarkers in neurodegenerative disease contexts.

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Diagnosis of pathological speech with streamlined features for long short-term memory learning

Cited by 4 publications

References 31 publications

MSDFEN: Multi-scale dynamic feature extraction network for pathological voice detection

MSDFEN: Multi-scale dynamic feature extraction network for pathological voice detection

Improving Voice Pathology Classification Using Artificial Data Generation

Review of voice biomarkers in the screening of neurodegenerative diseases

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