Szczegóły Szczegóły PDF BIBTEX RIS 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 Usman, Mohammed ; Zubair, Mohammed ; Ahmad, Zeeshan ; Zaidi, Monji ; Ijyas, Thafasal ; Parayangat, Muneer ; Wajid, Mohd ; Shiblee, Mohammad ; Ali, Jaffar Ali 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 Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics 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