• Title/Summary/Keyword: Dynamic time warpping(DTW)

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Active Slope Weighted-Constraints Based DTW Algorithm for Environmental Sound Recognition System (능동형 기울기 가중치 제약에 기반한 환경소리 인식시스템용 DTW 알고리듬)

  • Jung, Young-Jin;Lee, Yun-Jung;Kim, Pil-Un;Kim, Myoung-Nam
    • Journal of Korea Multimedia Society
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    • v.11 no.4
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    • pp.471-480
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    • 2008
  • The deaf can not recognize useful sound informations such as alarm, doorbell, siren, car horn, and phone ring etc., because they have the hearing impairment. To solve this problems, portable hearing assistive devices which have suitable environment sound recognition methods are needed. In this paper, the DTW algorithm for sound recognition system with new active slope weighting constraint method was proposed. The environment sound recognition methods consist of three processes. First process is extraction of start point and end point using frequency and amplitude of sound. Second process is extraction of features and third process is classification of features for given segments. As a result of the experiment, the recognition rate of the proposed method is over 90%. And, the recognition rate of the proposed method increased about 20% than the conventional algorithm. Therefore if there are developed portable assistive devices which use developed method to recognize environment sound for hearing-impaired persons, they could be more convenient in life.

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