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신호의 복원된 위상 공간을 이용한 오디오 상황 인지

Audio Context Recognition Using Signal's Reconstructed Phase Space

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  • 이승룡 (유비쿼터스 컴퓨팅 연구실, 컴퓨터 공학과, 경희대학교) ;
  • 구교호 (유비쿼터스 컴퓨팅 연구실, 컴퓨터 공학과, 경희대학교)
  • Vinh, La The (Ubiquitous Computing Lab, Computer Engineering Department, Kyung Hee University) ;
  • Khattak, Asad Masood (Ubiquitous Computing Lab, Computer Engineering Department, Kyung Hee University) ;
  • Loan, Trinh Van (Ha Noi University of Technology) ;
  • Lee, Sungyoung (Ubiquitous Computing Lab, Computer Engineering Department, Kyung Hee University) ;
  • Lee, Young-Ko (Ubiquitous Computing Lab, Computer Engineering Department, Kyung Hee University)
  • 발행 : 2009.11.13

초록

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.

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