Survey of features extraction and classification techniques for speaker identification
Joint Authors
al-Sultan, Ali Yaqub
Kazim, Sahar Adil
Muslim, Ahmad Badri
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 28, Issue 3 (30 Sep. 2020), pp.43-54, 12 p.
Publisher
Publication Date
2020-09-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Sociology and Anthropology and Social Work
Abstract EN
Speech processing is more common day by day to provide enormous safety.
the speech for the purpose of authentication is commonly used.
recognition of the speaker is the method that can check and recognize the speaker.
the scheme of speech recognition is distinct from the scheme of speaker recognition.
recognition of speakers is commonly used in sectors, hospitals, laboratories, etc.
its benefits are safer, easier to implement, more user-friendly.
speaker identification method is one of the most commonly used techniques for the region where safety is very crucial.
this article presents an overview of various methods that can be used to recognize speakers’ systems, the feature extraction techniques such as Linear Predictive Coding (LPC), Linear Predictive Cepstral Coefficients (LPCC), Unique Mapped Real Transform (UMRT), Real Cepstral Coefficients (RCC), “Mel-frequency Cepstrum” (MFCC), in addition to various classification techniques such as “Gaussian mixture model (GMM)”, “Dynamic Time Warping (DTW)”, Support Vector Machine (SVM), Neural Network (NN), “Vector Quantization” (VQ).
The primary purpose of is to explain the common speaker recognition methods.
The obtained results are that, MFCC is chosen for high efficiency and low complexity.
and GMM is helpful in classifying less memory and less planning and efficient test results.
American Psychological Association (APA)
Kazim, Sahar Adil& Muslim, Ahmad Badri& al-Sultan, Ali Yaqub. 2020. Survey of features extraction and classification techniques for speaker identification. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 28, no. 3, pp.43-54.
https://search.emarefa.net/detail/BIM-1385129
Modern Language Association (MLA)
Kazim, Sahar Adil…[et al.]. Survey of features extraction and classification techniques for speaker identification. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 28, no. 3 (2020), pp.43-54.
https://search.emarefa.net/detail/BIM-1385129
American Medical Association (AMA)
Kazim, Sahar Adil& Muslim, Ahmad Badri& al-Sultan, Ali Yaqub. Survey of features extraction and classification techniques for speaker identification. Journal of Babylon University : Journal of Applied and Pure Sciences. 2020. Vol. 28, no. 3, pp.43-54.
https://search.emarefa.net/detail/BIM-1385129
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 53-54
Record ID
BIM-1385129