Results 21 to 30 of about 3,570,712 (344)

Automatic Voice Disorder Detection Using Self-Supervised Representations

IEEE Access, 2023
Many speech features and models, including Deep Neural Networks (DNN), are used for classification tasks between healthy and pathological speech with the Saarbruecken Voice Database (SVD).
D. Ribas, Miguel A. Pastor, A. Miguel, David Martinez, Alfonso Ortega, EDUARDO LLEIDA SOLANO   +5 more
semanticscholar   +1 more source

Utilizing Wav2Vec In Database-Independent Voice Disorder Detection

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023
Automatic detection of voice disorders from acoustic speech signals can help to improve reliability of medical diagnosis. However, the real-life environment in which speech signals are recorded for diagnosis can be different from the environment in which
Saska Tirronen, Farhad Javanmardi, Manila Kodali, Sudarsana Reddy Kadiri, P. Alku   +4 more
semanticscholar   +1 more source

Determinants and Effects of Voice Disorders among Secondary School Teachers in Peninsular Malaysia Using a Validated Malay Version of VHI-10. [PDF]

PLoS ONE, 2015
To establish the prevalence of voice disorder using the Malay-Voice Handicap Index 10 (Malay-VHI-10) and to study the determinants, quality of life, depression, anxiety and stress associated with voice disorder among secondary school teachers in ...
Foong Ming Moy, Victor Chee Wai Hoe, Noran Naqiah Hairi, Anne Hin Yee Chu, Awang Bulgiba, David Koh   +5 more
doaj   +1 more source

Role of PH Monitoring in Laryngopharyngeal Reflux Patients with Voice Disorders [PDF]

Iranian Journal of Otorhinolaryngology, 2016
Introduction: Laryngopharyngeal reflux (LPR) is considered an important cause of voice disorder. We aimed to determine the frequency of LPR in patients with voice disorder and the association between Koufman Reflux Symptom Index (RSI), Reflux Finding ...
Swati Maldhure, Ramanathan Chandrasekharan, Amit- Kumar Dutta, Ashok Chacko, Mary Kurien   +4 more
doaj   +1 more source

A deep learning-based model for detecting depression in senior population

Frontiers in Psychiatry, 2022
ObjectivesWith the attention paid to the early diagnosis of depression, this study tries to use the biological information of speech, combined with deep learning to build a rapid binary-classification model of depression in the elderly who use Mandarin ...
Yunhan Lin, Yunhan Lin, Yunhan Lin, Biman Najika Liyanage, Yutao Sun, Tianlan Lu, Tianlan Lu, Tianlan Lu, Zhengwen Zhu, Yundan Liao, Yundan Liao, Yundan Liao, Qiushi Wang, Chuan Shi, Chuan Shi, Chuan Shi, Weihua Yue, Weihua Yue, Weihua Yue, Weihua Yue, Weihua Yue   +20 more
doaj   +1 more source

Voice in pregnancy context

Revista Română de Terapia Tulburărilor de Limbaj şi Comunicare, 2020
This paper wants to briefly review the available research on voice changes during pregnancy, to point out reasons why these changes could be subscribed to a voice disorder pathology and the need for these patients to be taken in charge with a suitable ...
ȘCHIOPU, Iulia
doaj   +1 more source

Objective Acoustic Analysis and Comparison of Normal and Abnormal Voices [PDF]

Journal of Clinical and Diagnostic Research, 2018
Introduction: Acoustic analysis is commonly used to diagnose, document and treat voice disorders. Type I and Type II voices which are nearly periodic can be easily assessed with computerised acoustic analysers.
HT Lathadevi, Suresh Pundalikappa Guggarigoudar   +1 more
doaj   +1 more source

Multi-Scale Recurrence Quantification Measurements for Voice Disorder Detection

Applied Sciences, 2022
Due to the complexity and non-stationarity of the voice generation system, the nonlinearity of speech signals cannot be accurately quantified. Recently, the recurrence quantification analysis method has been used for voice disorder detection.
Xin-Cheng Zhu, Deng-Huang Zhao, Yi-Hua Zhang, Xiao-Jun Zhang, Zhi Tao   +4 more
doaj   +1 more source

Employing Energy and Statistical Features for Automatic Diagnosis of Voice Disorders

Diagnostics, 2022
The presence of laryngeal disease affects vocal fold(s) dynamics and thus causes changes in pitch, loudness, and other characteristics of the human voice. Many frameworks based on the acoustic analysis of speech signals have been created in recent years;
Avinash Shrivas, Shrinivas Deshpande, Girish Gidaye, Jagannath Nirmal, Kadria Ezzine, Mondher Frikha, Kamalakar Desai, Sachin Shinde, Ankit D. Oza, Dumitru Doru Burduhos-Nergis, Diana Petronela Burduhos-Nergis   +10 more
doaj   +1 more source

Children's Voice and Voice Disorders

Seminars in Speech and Language, 2013
This article discusses the differences between children's voices and adult voices. We give an overview of the anatomy in the head and neck and specifically the anatomy of the respiratory system and the larynx. We also describe the development of children's voices including different physiological measures and voice quality.
McAllister, Anita, Sjölander, Peta
openaire   +4 more sources