TY - JOUR KW - Classification (of information) KW - Accent classifications; Classification models; Comparative analyzes; Feature models; Performance measure; Recent researches; Speaker profiling; Speech classification; Speech features; Speech forensics KW - Speech recognition JF - PeerJ Computer Science PB - PeerJ Inc. A1 - Humayun, M.A. A1 - Shuja, J. A1 - Abas, P.E. SN - 23765992 N1 - cited By 0 AV - none Y1 - 2024/// TI - A review of social background profiling of speakers from speech accents N2 - Social background profiling of speakers is heavily used in areas, such as, speech forensics, and tuning speech recognition for accuracy improvement. This article provides a survey of recent research in speaker background profiling in terms of accent classification and analyses the datasets, speech features, and classification models used for the classification tasks. The aim is to provide a comprehensive overview of recent research related to speaker background profiling and to present a comparative analysis of the achieved performance measures. Comprehensive descriptions of the datasets, speech features, and classification models used in recent research for accent classification have been presented, with a comparative analysis made on the performance measures of the different methods. This analysis provides insights into the strengths and weaknesses of the different methods for accent classification. Subsequently, research gaps have been identified, which serve as a useful resource for researchers looking to advance the field. Copyright 2024 Humayun et al. ID - scholars20047 UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190836183&doi=10.7717%2fpeerj-cs.1984&partnerID=40&md5=ed8f20b1c086152e0ba52d2d306fdc12 VL - 10 ER -