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Intelligent systems are transforming the world, as well as our healthcare system. We propose a deep learning-based cough sound classification model that can distinguish between children with healthy versus pathological coughs such as…

This paper presents a macroscopic approach to automatic detection of speech sound disorder (SSD) in child speech. Typically, SSD is manifested by persistent articulation and phonological errors on specific phonemes in the language. The…

Audio and Speech Processing · Electrical Eng. & Systems 2022-06-30 Si-Ioi Ng , Cymie Wing-Yee Ng , Jiarui Wang , Tan Lee

Mental health risk prediction is a growing field in the speech community, but many studies are based on small corpora. This study illustrates how variations in test and train set sizes impact performance in a controlled study. Using a…

Computation and Language · Computer Science 2025-01-03 Tomek Rutowski , Amir Harati , Elizabeth Shriberg , Yang Lu , Piotr Chlebek , Ricardo Oliveira

Parkinson's disease (PD) is a chronic neurodegenerative disease. Early diagnosis is essential to mitigate the progressive deterioration of patients' quality of life. The most characteristic motor symptoms are very mild in the early stages,…

Machine Learning · Computer Science 2026-01-27 Beatriz Pérez-Sánchez , Noelia Sánchez-Maroño , Miguel A. Díaz-Freire

The Common Voice corpus is a massively-multilingual collection of transcribed speech intended for speech technology research and development. Common Voice is designed for Automatic Speech Recognition purposes but can be useful in other…

Speech disorders often occur at the early stage of Parkinson's disease (PD). The speech impairments could be indicators of the disorder for early diagnosis, while motor symptoms are not obvious. In this study, we constructed a new speech…

Audio and Speech Processing · Electrical Eng. & Systems 2021-06-01 Hao Fang , Chen Gong , Chen Zhang , Yanan Sui , Luming Li

Early detection of exacerbations in asthma and chronic obstructive pulmonary disease (COPD) is important for timely intervention. Speech has emerged as a promising tool for continuous, non-invasive respiratory disease monitoring. However,…

Sound · Computer Science 2026-05-19 Yuyang Yan , Sami O. Simons , Visara Urovi

In this paper, we present a transcribed corpus of the LIBE committee of the EU parliament, totalling 3.6 Million running words. The meetings of parliamentary committees of the EU are a potentially valuable source of information for…

Computation and Language · Computer Science 2023-04-18 Hugo de Vos , Suzan Verberne

In this article a DNN-based system for detection of three common voice disorders (vocal nodules, polyps and cysts; laryngeal neoplasm; unilateral vocal paralysis) is presented. The input to the algorithm is (at least 3-second long) audio…

With Polycystic Kidney Disease (PKD) potentially leading to fatal complications in patients due to the formation of cysts in kidneys, early detection of PKD is crucial for effective management of the condition. However, the various…

Machine Learning · Computer Science 2023-09-26 Kapil Panda , Anirudh Mazumder

Disentangling uncorrelated information in speech utterances is a crucial research topic within speech community. Different speech-related tasks focus on extracting distinct speech representations while minimizing the affects of other…

Computation and Language · Computer Science 2023-09-26 Siqi Zheng , Luyao Cheng , Yafeng Chen , Hui Wang , Qian Chen

This paper presents a systematic literature review of published studies on AI-based automated speech therapy tools for persons with speech sound disorders (SSD). The COVID-19 pandemic has initiated the requirement for automated speech…

Human-Computer Interaction · Computer Science 2024-04-22 Chinmoy Deka , Abhishek Shrivastava , Ajish K. Abraham , Saurabh Nautiyal , Praveen Chauhan

This paper presents a semi-automatic approach to create a diachronic corpus of voices balanced for speaker's age, gender, and recording period, according to 32 categories (2 genders, 4 age ranges and 4 recording periods). Corpora were…

Audio and Speech Processing · Electrical Eng. & Systems 2024-04-29 Rémi Uro , David Doukhan , Albert Rilliard , Laëtitia Larcher , Anissa-Claire Adgharouamane , Marie Tahon , Antoine Laurent

This paper considers a representation learning strategy to model speech signals from patients with Parkinson's disease and cleft lip and palate. In particular, it compares different parametrized representation types such as wideband and…

Audio and Speech Processing · Electrical Eng. & Systems 2022-09-20 Gabriel Figueiredo Miller , Juan Camilo Vásquez-Correa , Juan Rafael Orozco-Arroyave , Elmar Nöth

Thanks to improvements in machine learning techniques including deep learning, a free large-scale speech corpus that can be shared between academic institutions and commercial companies has an important role. However, such a corpus for…

Computation and Language · Computer Science 2017-11-02 Ryosuke Sonobe , Shinnosuke Takamichi , Hiroshi Saruwatari

This article details the results of analyses we conducted on the discourse of schizophrenic patients, at the oral production (disfluences) and lexical (part-of-speech and lemmas) levels. This study is part of a larger project, which…

Quantitative Methods · Quantitative Biology 2015-09-07 Maxime Amblard , Karën Fort , Caroline Demily , Nicolas Franck , Michel Musiol

Objective: Chronic obstructive pulmonary disease (COPD) is a highly prevalent chronic condition. COPD is a major source of morbidity, mortality and healthcare costs. Spirometry is the gold standard test for a definitive diagnosis and…

Signal Processing · Electrical Eng. & Systems 2020-12-11 Jeremy Levy , Daniel Alvarez , Felix del Campo , Joachim A. Behar

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease that causes obstructed airflow from the lungs. In the United States, more than 15.7 million Americans have been diagnosed with COPD, with 96% of individuals…

Machine Learning · Computer Science 2024-09-06 Negar Orangi-Fard

Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under specified interventions -- is central to chronic-disease care, yet existing electronic health record (EHR) models are predominantly…

Machine Learning · Computer Science 2026-05-22 Jiangyuan Wang , Xuyong Chen , Junwei He , Xu Xu , Shasha Xie , Fuman Han

Chronic Kidney Disease (CKD) has infected almost 800 million people around the world. Around 1.7 million people die each year because of it. Detecting CKD in the initial stage is essential for saving millions of lives. Many researchers have…

Machine Learning · Computer Science 2022-03-04 Md. Taufiqul Haque Khan Tusar , Md. Touhidul Islam , Foyjul Islam Raju
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