Speaker Recognition As A Form Of Biometric
Abstract & Details
Research Area
Computer Science Engineering
Keywords
Speaker recognition
biometrics
security
mel-cepstral coefficient
DTW
Abstract
Speaker recognition is the process of recognizing automatically who is speaking on the basis of individual information included in speech waves. This technique uses the speaker's voice to verify their identity and provides control access to services such as voice dialling, database access services, information services, voice mail, security control for confidential information areas, remote access to computers and several other fields where security is the main area of concern. Speech is a complicated signal produced as a result of several transformations occurring at several different levels: semantic, linguistic, articulatory, and acoustic. Differences in these transformations are reflected in the differences in the acoustic properties of the speech signal. Besides there are speaker related differences which are a result of a combination of anatomical differences inherent in the vocal tract and the learned speaking habits of different individuals. In speaker recognition, all these differences are taken into account and used to discriminate between speakers. The forthcoming chapters describe how to build a simple and representative automatic speaker recognition system. Such a speaker recognition system helps in the basic purpose of speaker identification which forms a formidable domain in the field of speaker recognition. The system designed has potential in several security applications. Examples may include, users having to speak a PIN (Personal Identification Number) in order to gain access to the laboratory they work in or having to speak their credit card number over the telephone line to verify their identity. By checking the voice characteristics of the input utterance, using an automatic speaker recognition system similar to the one that we will describe, the system is able to add an extra level of security.
License
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | A J Alex | SRM Institute of Science and Technology |
| 2 | Arunabha Basak | SRM Institute of Science and Technology |
| 3 | Jishnuprasad Menon | SRM Institute of Science and Technology |
| 4 | Aditya Deshpande | SRM Institute of Science and Technology |
| 5 | Caroline El Fiorenza | SRM Institute of Science and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Alex, A J, Basak, Arunabha, Menon, Jishnuprasad, Deshpande, Aditya, & Fiorenza, Caroline El (2018). Speaker Recognition As A Form Of Biometric. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 3047-3052.
MLA Style
Alex, A J, et al. "Speaker Recognition As A Form Of Biometric." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 3047-3052.
IEEE Style
A J Alex, Arunabha Basak, Jishnuprasad Menon, Aditya Deshpande, and Caroline El Fiorenza, "Speaker Recognition As A Form Of Biometric," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 3047-3052, 2018.
Vancouver Style
Alex A J, Basak Arunabha, Menon Jishnuprasad, Deshpande Aditya, Fiorenza Caroline El. Speaker Recognition As A Form Of Biometric. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):3047-3052.
Harvard Style
Alex, A J, Basak, Arunabha, Menon, Jishnuprasad, Deshpande, Aditya, & Fiorenza, Caroline El (2018) 'Speaker Recognition As A Form Of Biometric', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 3047-3052.
Chicago Style
Alex, A J, et al. "Speaker Recognition As A Form Of Biometric." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3047-3052.
Turabian Style
Alex, A J, et al. "Speaker Recognition As A Form Of Biometric." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3047-3052.
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