Abstract
In this study, we present a speech corpus of patients with chronic kidney disease (CKD) that will be used for research on pathological voice analysis, automatic illness identification, and severity prediction. This paper introduces the steps involved in creating this corpus, including the choice of speech-related parameters and speech lists as well as the recording technique. The speakers in this corpus, 289 CKD patients with varying degrees of severity who were categorized based on estimated glomerular filtration rate (eGFR), delivered sustained vowels, sentence, and paragraph stimuli. This study compared and analyzed the voice characteristics of CKD patients with those of the control group; the results revealed differences in voice quality, phoneme-level pronunciation, prosody, glottal source, and aerodynamic parameters.
Original language | English |
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Title of host publication | 2022 25th Conference of the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2022 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350398564 |
DOIs | |
State | Published - 2022 |
Event | 25th Conference of the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2022 - Hanoi, Viet Nam Duration: 24 Nov 2022 → 26 Nov 2022 |
Publication series
Name | 2022 25th Conference of the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2022 - Proceedings |
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Conference
Conference | 25th Conference of the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2022 |
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Country/Territory | Viet Nam |
City | Hanoi |
Period | 24/11/22 → 26/11/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- automatic classification
- chronic kidney disease
- corpus development
- voice analysis