Open Access
Research Article
Review of speaker recognition : Concepts, challenges, architectures, and future directions
*Neelam NehraCorresponding authorneelamnehra@msit.inDepartment of Electronics & Communication Engineering Maharaja Surajmal Institute of TechnologyJanakpuri, Delhi, 110058, IndiaView full profile → , Geetanjali Sharmagsharma@msit.inDepartment of Electronics & Communication Engineering Maharaja Surajmal Institute of TechnologyJanakpuri, Delhi, 110058, IndiaView full profile → , Parveen Kumarparveen@msit.inDepartment of Information Technology Maharaja Surajmal Institute of TechnologyJanakpuri, Delhi, 110058, IndiaView full profile → , Dinesh Sheorandineshsheoran@msit.inDepartment of Electronics & Communication Engineering Maharaja Surajmal Institute of TechnologyJanakpuri, Delhi, 110058, IndiaView full profile → , Amita Yadavamita.yadav@msit.inDepartment of Computer Science and Engineering Maharaja Surajmal Institute of TechnologyJanakpuri, Delhi, 110058, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 07 Aug 2024
- Published Online:
- 01 Jan 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1857
- Pages:
- 121–132
Abstract
Speaker recognition refers to the task of recognizing a person from a spoken utterance with the aid of a machine. The distinctive features extracted from the speech characteristics of various individuals are utilized to create a unique speaker model for each person. These models are then employed to identify an enrolled speaker from a pool of available speakers by comparing the features of the test speaker with the stored models. This paper explores various feature extraction techniques, including MFCC, LPC, RASTA-PLP, ZCR, and PSMFCC, among others. The paper also aims to explore various techniques for speaker modeling like GMM, I-Vector, ANN, DNN, SVM with an emphasis on Deep Neural Network (DNN) techniques. Additionally, this paper also presents a detailed comparative performance analysis of the techniques used in the domain of speech processing.
Keywords
Subject Classifications
68T07
References
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