• 한국정보전자통신기술학회논문지
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• 제10권1호
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• pp.85-94
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• 2017

본 논문에서는 동물소리 인식시스템을 위하여 최대 빈도모델 탐색 알고리즘을 고안하고 이를 이용한 소리모델을 생성하는 방법을 제안하였다. 소리모델 생성 방법은 동물종의 소리 데이터로부터 학습과정, 비터비 탐색과정 및 최대 빈도모델 탐색과정을 반복하면서 HMM(Hidden Makcov Model)모델의 구조(상태의 수와 GMM의 수)를 탐색하여 최적의 인식률을 갖는 모델집합이 생성하는 방법이다. 최대 빈도모델 탐색 알고리즘은 입력 소리 데이터를 비터비(Viterbi) 알고리즘으로 탐색하여 모델리스트를 생성하고 이 리스트 중에서 최대 빈도수의 모델을 탐색하여 최종 인식결과로 결정하는 방법이다. 알고리즘에서 소리특징으로 MFCC(Mel Frequency Cepstral Coefficient), 모델형식으로 HMM을 이용하고 C# 프로그래밍언어로 구현 하였다. 알고리즘의 성능을 평가하기 위하여 27종의 동물소리를 선정하고 실험을 하였으며 27개의 HMM 모델집합이 97.29 퍼센트의 인식률로 생성됨을 확인하였다.

• Animal cells and systems
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• 제9권2호
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• pp.47-55
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• 2005

Avian vocalization has been main topics in studying animal communication. The structure and usage as well as development and function of vocalization vary enormously among species and even among populations, and thus we reviewed the general patterns of song learning and the consequences of song communication in birds at the behavioural level: first, we compared the different learning phenomena between non-songbird and songbird, and we investigated the learning process of songbird both in the field and in the lab, which are needed to fully understand vocal communication. Second, we discussed a recent trend of sexual selection hypothesis explaining the structural and functional diversity of song in songbirds with repertoire and presented how the repertoire is actually used between neighbours based on individual recognition.

• Journal of Ecology and Environment
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• 제30권1호
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• pp.9-15
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• 2007

Black-tailed gulls (Larus crassirostris) produce alarm calls apparently related to their anti-predator behaviors, but the hypothesis that the calls are actually used as functionally referential alarm signals has not yet been tested. In this study, we performed a series of experiments using visual (a stuffed goshawk: Accipiter gentilis) and acoustic (alarm calls and a control vocalization) stimuli at 15 sites in Sinjindo-ri and Dowhang-ri, Taean-gun, Chungnam province to examine anti-predator responses of the gulls to alarm calls in playback trials. We found that the gulls' visual recognition of a perched hawk model in the absence of alarm vocalizations was weak or absent because the model was noticed in only two out of 16 trials. The gulls' responses to playbacks of the alarm call only and the alarm call with a visual stimulus differed from responses to the control vocalization in latency to approach, time mobbing, and the percentage of gulls responding, while the responses to alarm call only differed from alarm call with a visual stimulus in latency to first fly, latency to call, and time mobbing. The results of this study suggest that alarm calls of black-tailed gulls are used to elicit appropriate anti-predator behaviors that are intensified when a predator is detected visually.