Jahangir, Rashid and Teh, Ying Wah and Nweke, Henry Friday and Mujtaba, Ghulam and Al-Garadi, Mohammed Ali and Ali, Ihsan (2021) Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges. Expert Systems with Applications, 171. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2021.114591.
Full text not available from this repository.Abstract
Speech is a powerful medium of communication that always convey rich and useful information, such as gender, accent, and other unique characteristics of a speaker. These unique characteristics enable researchers to recognize human voice using artificial intelligence techniques that are important in the areas of forensic voice verification, security and surveillance, electronic voice eavesdropping, mobile banking and mobile shopping. Recent advancements in deep learning and other hardware techniques have gained attention of researchers working in the field of automatic speaker identification (SI). However, to the best of our knowledge, there is no in-depth survey is available that critically appraises and summarizes the existing techniques with their strengths and weaknesses for SI. Hence, this study identified and discussed various areas of SI, presented a comprehensive survey of existing studies, and also presented the future research challenges that require significant research efforts in the field of SI systems.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Education, Malaysia [FRGSFP1112018A] |
| Uncontrolled Keywords: | Speaker identification; Survey; Acoustic features; Artificial Intelligence; Deep learning; Speech databases |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Information Science |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 13 Aug 2022 04:05 |
| Last Modified: | 13 Aug 2022 04:05 |
| URI: | http://eprints.um.edu.my/id/eprint/28503 |
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