NDLI: A real time speaker identification using artificial neural network

Content Provider	IEEE Xplore Digital Library
Author	Hossain, M. Ahmed, B. Asrafi, M.
Copyright Year	2007
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Rajshahi Univ. of Eng. & Technol., Rajshahi (Hossain, M.)
Abstract	Nowadays it is obvious that speakers can be identified from their voices. In this paper detail of speaker identification from the real-time system point of view is described. Firstly, it have been reviewed the well-known techniques used in speaker identification then the details of every step in identification process and explains the ideas, which leaded to these techniques. We start from the basic definitions used in DSP, then we move to the feature extraction step. Being widely used in pattern recognition tasks, neural networks have also been applied in speaker recognition. In this study, we developed a text-independent speaker identification system based on Back-propagation Neural Network (BPN). BPNs supply flexibility and straightforward design which make the system easily operable along with the successful classification results. In order to analyze the system in practice we made appropriate software and using real data we ran several tests. Empirical results show that proposed approach greatly improves identification speed in feature matching step. From the experiment it is found that the system correctly identify 96% of the speakers, using less then one second of test samples from each speaker.
Starting Page	1
Ending Page	5
File Size	136864
Page Count	5
File Format	PDF
ISBN	9781424415502
DOI	10.1109/ICCITECHN.2007.4579414
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-27
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Closed-Set Mel-Frequency Cepstral Coefficient Identification Speaker Identification Open-Set Identification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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