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Design and Implementation of a Robust Acoustic Recognition System for Waterbird Species using TMS320C6713 DSK

Design and Implementation of a Robust Acoustic Recognition System for Waterbird Species using TMS320C6713 DSK

Amira Boulmaiz, Djemil Messadeg, Noureddine Doghmane, Abdelmalik Taleb-Ahmed
Copyright: © 2017 |Volume: 8 |Issue: 1 |Pages: 21
ISSN: 1941-6237|EISSN: 1941-6245|EISBN13: 9781522512219|DOI: 10.4018/IJACI.2017010105
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MLA

Boulmaiz, Amira, et al. "Design and Implementation of a Robust Acoustic Recognition System for Waterbird Species using TMS320C6713 DSK." IJACI vol.8, no.1 2017: pp.98-118. http://doi.org/10.4018/IJACI.2017010105

APA

Boulmaiz, A., Messadeg, D., Doghmane, N., & Taleb-Ahmed, A. (2017). Design and Implementation of a Robust Acoustic Recognition System for Waterbird Species using TMS320C6713 DSK. International Journal of Ambient Computing and Intelligence (IJACI), 8(1), 98-118. http://doi.org/10.4018/IJACI.2017010105

Chicago

Boulmaiz, Amira, et al. "Design and Implementation of a Robust Acoustic Recognition System for Waterbird Species using TMS320C6713 DSK," International Journal of Ambient Computing and Intelligence (IJACI) 8, no.1: 98-118. http://doi.org/10.4018/IJACI.2017010105

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Abstract

In this paper, a new real-time approach for audio recognition of waterbird species in noisy environments, based on a Texas Instruments DSP, i.e. TMS320C6713 is proposed. For noise estimation in noisy water bird's sound, a tonal region detector (TRD) using a sigmoid function is introduced. This method offers flexibility since the slope and the mean of the sigmoid function can be adapted autonomously for a better trade-off between noise overvaluation and undervaluation. Then, the features Mel Frequency Cepstral Coefficients post processed by Spectral Subtraction (MFCC-SS) were extracted for classification using Support Vector Machine classifier. A development of the Simulink analysis models of classic MFCC and MFCC-SS is described. The audio recognition system is implemented in real time by loading the created models in DSP board, after being converted to target C code using Code Composer Studio. Experimental results demonstrate that the proposed TRD-MFCC-SS feature is highly effective and performs satisfactorily compared to conventional MFCC feature, especially in complex environment.

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