International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Review - Smoker/Non-Smoker Classification of People Using a Speech Signal

Abstract

Speech is a behavioral biometric that can reveal a person's age, gender, race, and emotional state. The speech signal may also be used to ascertain a person's behavior, such as whether or not they smoke or take drugs. One of the topics that is frequently studied in the field of speech technology is the smoking habits of speakers. Over the past years, a lot of research has been done in this area, but little progress has been made in this field. As deep learning techniques have advanced in most machine learning fields, they have replaced earlier research techniques for speech recognition and verification. The most cutting-edge method for confirming and recognizing a speaker's identity is currently deep learning. This study's objective is to analyze research that uses speech signals and artificial intelligence to distinguish smokers from non-smokers. Every speech recognition system uses a variety of algorithms to convert sound waves into information that can be interpreted and processed by the system, which then generates an output that can be used as needed.

Country : Iraq

1 Ibrahim Khudhur Zaal2 Yusra Faisal Mohammad

  1. Computer Science Department, College of Computer and Mathematics & Mosul University, Iraq
  2. Assistant Professor, Computer Science Department, College of Computer and Mathematics &, Mosul University, Iraq

IRJIET, Volume 7, Issue 5, May 2023 pp. 99-107

doi.org/10.47001/IRJIET/2023.705011

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