Speaker recognition systems in the last decade : a survey

Joint Authors

Ahmad, Ahmad M.
Hasan, Alya Karim A.

Source

Engineering and Technology Journal

Issue

Vol. 39, Issue 1B (31 Jan. 2021), pp.30-40, 11 p.

Publisher

University of Technology

Publication Date

2021-01-31

Country of Publication

Iraq

No. of Pages

11

Main Subjects

Physics

Topics

Abstract EN

Speaker Recognition Defined by the process of recognizing a person byhisher voice through specific features that extract from hisher voicesignal.

An Automatic Speaker recognition (ASP) is a biometricauthentication system.

In the last decade, many advances in the speakerrecognition field have been attained, along with many techniques infeature extraction and modeling phases.

In this paper, we present anoverview of the most recent works in ASP technology.

The study makes aneffort to discuss several modeling ASP techniques like Gaussian MixtureModel GMM, Vector Quantization (VQ), and Clustering Algorithms.

Also, several feature extraction techniques like Linear Predictive Coding (LPC)and Mel frequency cepstral coefficients (MFCC) are examined.

Finally, asa result of this study, we found MFCC and GMM methods could beconsidered as the most successful techniques in the field of speakerrecognition so Speaker Recognition Defined by the process of recognizing a person byhisher voice through specific features that extract from hisher voicesignal.

An Automatic Speaker recognition (ASP) is a biometricauthentication system.

In the last decade, many advances in the speakerrecognition field have been attained, along with many techniques infeature extraction and modeling phases.

In this paper, we present anoverview of the most recent works in ASP technology.

The study makes aneffort to discuss several modeling ASP techniques like Gaussian MixtureModel GMM, Vector Quantization (VQ), and Clustering Algorithms.

Also, several feature extraction techniques like Linear Predictive Coding (LPC)and Mel frequency cepstral coefficients (MFCC) are examined.

Finally, asa result of this study, we found MFCC and GMM methods could beconsidered as the most successful techniques in the field of speakerrecognition so far

American Psychological Association (APA)

Ahmad, Ahmad M.& Hasan, Alya Karim A.. 2021. Speaker recognition systems in the last decade : a survey. Engineering and Technology Journal،Vol. 39, no. 1B, pp.30-40.
https://search.emarefa.net/detail/BIM-1282613

Modern Language Association (MLA)

Ahmad, Ahmad M.& Hasan, Alya Karim A.. Speaker recognition systems in the last decade : a survey. Engineering and Technology Journal Vol. 39, no. 1B (2021), pp.30-40.
https://search.emarefa.net/detail/BIM-1282613

American Medical Association (AMA)

Ahmad, Ahmad M.& Hasan, Alya Karim A.. Speaker recognition systems in the last decade : a survey. Engineering and Technology Journal. 2021. Vol. 39, no. 1B, pp.30-40.
https://search.emarefa.net/detail/BIM-1282613

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 39-40

Record ID

BIM-1282613