Voice control of visual supervision system based on spectral analysis using mean square error measure

• Autorzy: Pęksiński J. , Mikołajczak G.
• Konferencja: Computer Applications in Electrical Engineering 2010 [Poznań, April 19-21, 2010]
• Języki publikacji: EN

Abstrakty

EN

The authors presented in the study human voice recognition algorithm, which functioning is based on analysis of spectrograms with MSE (mean square error) quality measure utilization, which is employed for digital images comparing. The algorithm of human voice recognition proposed in the article was practically used for voice control of visual supervision system.

Słowa kluczowe

EN

voice control; mean square error; MSE; voice recognition

PL

sterowanie głosem; średni błąd kwadratowy; rozpoznawanie głosu

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Poznan University of Technology Academic Journals. Electrical Engineering
• Rocznik: 2010
• Tom: No. 63
• Strony: 89--94
• Opis fizyczny: Bibliogr. 4 poz.

Twórcy

autor

Pęksiński J.

autor

Mikołajczak G.

• West Pomeranian University of Technology, Szczecin

Bibliografia

• [1] Saeta J.R. and Hernando, J., “On the Use of Score Pruning in Speaker Verification for Speaker Dependent Threshold Estimation”, 2004: A Speaker Odyssey, The Speaker Recognition Workshop”, pp. 215-218, 2004.
• [2] Omar M. K., Hasegawna-Johnson M., Levinson S., Gaussian “Mixture Models of Phonetic Boundaries for Speech Recognition, Automatic Speech Recognition and Understanding” Workshop, 2001.
• [3] Rabiner L. R., Juang B. H., “Fundamentals of Speech Recognition” Prentice Hall, Englewood Clis, 1993.
• [4] Kornatowski E., “Calculus of probability of signal representation fidelity measure”, Kwartalnik Elektroniki i Telekomunikacji (Electronics and Telecommunications Quarterly) R. 45, z. 3-4, s. 297-309, 1999.