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( La The Vinh ),( Asad Masood Khattak ),( Trinh Van Loan ),이승룡 ( Sungyoung Lee ),구교호 ( Young-ko Lee ) 한국정보처리학회 2009 한국정보처리학회 학술대회논문집 Vol.16 No.2
So far, many researches have been conducted in the area of audio based context recognition. Nevertheless, most of them are based on existing feature extraction techniques derived from linear signal processing such as Fourier transform, wavelet transform, linear prediction... Meanwhile, environmental audio signal may potentially contains non-linear dynamic properties. Therefore, it is a big potential to utilize non-linear dynamic signal processing techniques in audio based context recognition.