Combining Multiple Sound Sources Localization Hybrid Algorithm and Fuzzy Rule Based Classification for Real-time Speaker Tracking Application

• Autorzy: Ibala C , Astapov S , Bettens F , Escobar F , Chang X , Valderrama C , Riid A
• Języki publikacji: EN

Abstrakty

EN

This work present a novel approach to track a specific speaker among multiple using the Minimum Variance Distortionless Response (MVDR) beamforming and fuzzy logic ruled based classification for speaker recognition. The Sound sources localization is performed with an improve delay and sum beamforming (DSB) computation methodology. Our proposed hybrid algorithm computes first the Generalized Cross Correlation (GCC) to create a reduced search spectrum for the DSB algorithm. This methodology reduces by more than 70% the DSB localization computation burden. Moreover for high frequencies Sound sources beamforming, the DSB will be preferred to the MVDR for logic and power consumption reduction.

Słowa kluczowe

EN

DSB; GCC; localization; tracking; MVDR; fuzzy logic; classification; speaker recognition; FPGA

PL

DSB; GCC; lokalizacja; śledzenie; MVDR; logika rozmyta; klasyfikacja; rozpoznawanie mowy; biometryka głosu; FPGA

• Wydawca: Lodz University of Technology. Department of Microelectronics and Computer Science
• Czasopismo: International Journal of Microelectronics and Computer Science
• Rocznik: 2013
• Tom: Vol. 4, nr 1
• Strony: 12--25
• Opis fizyczny: Bibliogr. 37 poz.

Twórcy

autor

Ibala C

• Department of Electronics and Computer Engineering, University of Limerick, Ireland

autor

Astapov S

• Tallinn University of Technology in Estonia

autor

Bettens F

• Faculty of Engineering, University of Mons, Belgium

autor

Escobar F

• Faculty of Engineering, University of Mons, Belgium

autor

Chang X

autor

Valderrama C

• Faculty of Engineering, University of Mons, Belgium

autor

Riid A

• Tallinn University of Technology in Estonia

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