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One of primary element of ecological environment is environmental sound, which contains a great amount of rich information. Currently, Tonga Lake and Garaet Hadj Tahar (northeast of Algeria) host the highest numbers of this species in Algeria and North Africa (Chettibi, 2013 Aissaoui et al., 2011). With an area of 2700 ha, Tonga lake is a refuge for over thirty-six different waterbird species and a major nesting site for Africa endangered waterbirds, namely: White-headed Duck ( Oxyura leucocephala) and Ferruginous Duck ( Aythya nyroca) which are threatened species ranked as “Endangered” and “Near Threatened” in the International union for conservation of nature red list, respectively. Tonga Lake, of El Kala National Park (northeast of Algeria), is a very special place for tens of thousands of different waterbirds species to overwinter or to a temporary halt. 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.Īlgeria is home to a great diversity of wetlands, which are important sites for the wintering and the breeding of Palearctic migratory waterbirds.
Tms320c6713 dsk code#
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.
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A development of the Simulink analysis models of classic MFCC and MFCC-SS is described. Then, the features Mel Frequency Cepstral Coefficients post processed by Spectral Subtraction (MFCC-SS) were extracted for classification using Support Vector Machine classifier. 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. For noise estimation in noisy water bird's sound, a tonal region detector (TRD) using a sigmoid function is introduced. AbstractIn this paper, a new real-time approach for audio recognition of waterbird species in noisy environments, based on a Texas Instruments DSP, i.e.