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Development of a Text-Dependent Speaker Recognition System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 69 - Number 16 |
| Year of Publication: 2013 |
| Authors: Aliyu E. O., Adewale O. S., Adetunmbi A. O. |
10.5120/12043-7021
|
Aliyu E. O., Adewale O. S., Adetunmbi A. O. . Development of a Text-Dependent Speaker Recognition System. International Journal of Computer Applications. 69, 16 ( May 2013), 1-7. DOI=10.5120/12043-7021
Abstract
Speaker recognition is the ability of recognizing a person based on his voice. Many modalities and techniques have been applied to achieve the task of authentication, ranging from retina scans to finger prints. This paper presents a Text-Dependent model for automatic Speaker Recognition. Features extractor are based on Mel-Frequency Cepstrum Coefficients (MFCCs) and Linear Predictive Coding (LPC) analysis technique which aids the translation of incoming speech into a feature value. Also, a recognizer block, employs the two techniques (MFCC and LPC) to get an hybrid features for speaker identification/verification system. An experiment was carried out on the threshold from 75% to 95% at 5% differential to know the performance of the MFCCs and LPC identification/verification system. From the experiment carried out, the result shows that LPC outperforms MFCCs and a combination. The text-dependent speaker recognition system was implemented using Java Programming Language (Java Speech Application Programming Interface (JSAPI) ). The system is developed for access control into computer systems and could be used for access control where security is considered to be of utmost important.
References
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