Based on Spectral Analysis of Voice Controllable Surveillance System Using Normalized Mean Square Error

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Abstract:

In the article the authors present an algorithm to recognize the human voice, whose operation is based on the analysis of spectra using a measure of the quality of NMSE (normalized mean square error) used to compare digital images. Proposed in the article of voice recognition algorithm has been applied practically to voice control a visual surveillance system.

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156-160

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September 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Saeta, J.R. and Hernando, J., On the Use of Score Pruning in Speaker Verification for Speaker Dependent Threshold Estimation, A Speaker Odyssey, The Speaker Recognition Workshop", pp.215-218, (2004).

DOI: 10.1109/odyssey.2006.248136

Google Scholar

[2] M. K. Omar, M. Hasegawna-Johnson, S. Levinson, Gaussian Mixture Models of Phonetic Boundaries for Speech Recognition, Automatic Speech Recognition and Understanding Workshop, (2001).

DOI: 10.1109/asru.2001.1034582

Google Scholar

[3] L.R. Rabiner, B.H. Juang, Fundamentals of Speech Recognition Prentice Hall, Englewood Clis, (1993).

Google Scholar

[4] Kornatowski E., Calculus of probability of signal representation fidelity measure, Electronics and Telecommunications Quarterly, R. 45, z. 3-4, s. 297-309 , (1999).

Google Scholar