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A Comprehensive Study of Audio Profiling: Methods, Applications, Challenges, and Future Directions
  • +2
  • Anil Pudasaini,
  • Muna Al-Hawawreh,
  • Mohamed Reda Bouadjenek,
  • Hakim Hacid,
  • Sunil Aryal
Anil Pudasaini
School of Information Technology, Deakin University

Corresponding Author:[email protected]

Author Profile
Muna Al-Hawawreh
School of Information Technology, Deakin University
Mohamed Reda Bouadjenek
School of Information Technology, Deakin University
Hakim Hacid
Technology Innovation Institute, Abu Dhabi
Sunil Aryal
School of Information Technology, Deakin University

Abstract

Audio profiling is at the forefront of a technological breakthrough, offering rich insights into human behavior, emotions, physical attributes, and environmental contexts through detailed analysis of voice data. As we embrace an era where the integration of smart technologies equipped with the ability to capture sound is becoming omnipresent, the capacity to accurately infer personal traits such as age, gender, height, weight, emotional state, personality, and even environmental contexts through voice analysis opens up vast opportunities across law enforcement, healthcare, social and commercial services, and entertainment. This emerging field promises to enhance our interaction with technology by not only understanding who we are but also by interpreting the world around us. However, the exciting landscape is fraught with challenges, including data imbalances, the complexity of predictive models, and significant privacy concerns regarding handling sensitive paralinguistic information. This survey explores deep into the current landscape of audio profiling, examining the techniques and datasets in use, and showcasing its diverse applications while highlighting the need for advanced methodologies, enriched dataset development, and robust privacy preservation techniques.
13 May 2024Submitted to TechRxiv
17 May 2024Published in TechRxiv