Szczegóły

Tytuł artykułu

Heart Rate Detection and Classification from Speech Spectral Features Using Machine Learning

Tytuł czasopisma

Archives of Acoustics

Rocznik

2021

Wolumin

vol. 46

Numer

No 1

Afiliacje

Usman, Mohammed : Department of Electrical Engineering King Khalid University Abha, 61411, Saudi Arabia ; Zubair, Mohammed : Department of Electrical Engineering King Khalid University Abha, 61411, Saudi Arabia ; Ahmad, Zeeshan : Department of Electrical Engineering King Khalid University Abha, 61411, Saudi Arabia ; Zaidi, Monji : Department of Electrical Engineering King Khalid University Abha, 61411, Saudi Arabia ; Ijyas, Thafasal : Department of Electrical Engineering King Khalid University Abha, 61411, Saudi Arabia ; Parayangat, Muneer : Department of Electrical Engineering King Khalid University Abha, 61411, Saudi Arabia ; Wajid, Mohd : Department of Electronics Engineering Aligarh Muslim University Aligarh, 202001, India ; Shiblee, Mohammad : Department of Computer Engineering Taif University Taif, 21944, Saudi Arabia ; Ali, Jaffar Ali : Department of Computer EngineeringKing Khalid University Abha, 61411, Saudi Arabia

Autorzy

Słowa kluczowe

heart rate from speech ; machine learning ; MFCC ; regression and classification ; speech as a biomedical signal

Wydział PAN

Nauki Techniczne

Zakres

41-53

Wydawca

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Data

2021.03.30

Typ

Article

Identyfikator

DOI: 10.24425/aoa.2021.136559 ; ISSN 0137-5075 ; eISSN 2300-262X

Źródło

Archives of Acoustics; 2021; vol. 46; No 1; 41-53
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