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COMEC 2011 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/865
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| Title: | SPEECH DETECTION USING LINEAR PREDICTION CODING BASED ON CORRELATION COEFFICIENT CLASSIFICATION |
| Authors: | ABU HILAL, Tariq
ABU HILAL, Hasan
DAQROUQ, Jamal |
| Keywords: | linear predictive coding
correlation coefficient
Speaker Verification |
| Issue Date: | Oct-2011 |
| Publisher: | Lux Libris Publishing House |
| Citation: | Google Scholar |
| Series/Report no.: | I;36 - 40 |
| Abstract: | In this paper, the assumption of Linear Predictive Coding (LPC) as functional to speech is utilized for speaker accurate pattern extraction. Correlation Coefficient as a statistical Measurment is used for features classification, a thresholding factor is adjusted. The system works with the recorded samples, the features tracking capability was excellent with the recorded dataset of National Institute of Standards and Technology (NIST/TIMIT Database); therefore the system can be applied in different speaker-recognition systems for user’s authentication and verification. The proposed technique is simulated by MATLAB; the results show sufficient Recognition Rates (RR). |
| URI: | http://hdl.handle.net/123456789/865 |
| ISBN: | 978 – 973 – 131 – 122 - 7 |
| Appears in Collections: | COMEC 2011
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