• Title/Summary/Keyword: 머리 전달 함수

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Improving a Sound Localization Using 1/3-octave Band Pass Filter (1/3-옥타브 대역통과필터를 이용한 음상정위기법 성능 향상)

  • Hwang, Shin;Yang, Jin-Woo;Cheung, Wan-Sup;Kim, Soon-Hyob
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.3
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    • pp.98-103
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    • 2001

  • The binaural auditory system of human has the capability of differentiating the direction and distance of sound sources. This feature is well characterised in terms of the inter-aural intensity difference (IID), the inter-aural time difference (ITD) and/or the spectral shape difference (SSD) arising from the acoustic transfer of a sound source to the outer ears. This paper proposes an effective way of extracting the three sound perception factors (IID, ITD, SSD) from the head-related transfer functions (HRTF's) that depends on the direction and distance of the acoustic source from the listener. It includes the estimation method of the equivalent ITD and 1/3-octave band-based IID factors and their usage to locate a sound source in space. Subjective and objective tests were carried out to examine the effectiveness of the proposed methodology and its applicability to real sound systems. Those experimental results are illustrated in this paper.

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Modeling of Median-plane Head-related Impulse Responses Using a Set of General Basis Functions (보편적인 기저함수를 이용한 중앙면상의 머리전달함수 모델링)

  • Hwang, Sung-Mook;Park, Young-Jin;Park, Youn-Sik
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.18 no.4
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    • pp.448-457
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    • 2008

  • A principal components analysis (PCA) of the median-plane head-related impulse responses (HRIRs) in the CIPIC HRTF database reveals that the individual HRIRs in the median plane can be adequately reconstructed by a linear combination of 12 orthonormal basis functions. These basis functions can be used to model arbitrary median-plane HRIRs, which are not included in the process to obtain the basis functions. Memory size can be reduced up to 5-fold depending on the number of HRIRs to be modeled. To clarify whether these basis functions can be used to model other set of arbitrary median plane HRIRs, a numerical error analysis for modeling and a series of subjective listening tests were carried out using the measured and modeled HRIRs. The results showed that the set of individual HRIRs in the median plane, which were measured in our lab using different measurement conditions, techniques, and source positions, can be modeled with reasonable accuracy. All subjects, involved in the subjective listening test, reported not only the accurate vertical perception but also the front-back discrimination with the modeled HRIRs based on 12 basis functions.

  • https://doi.org/10.5050/KSNVN.2008.18.4.448 인용 PDF KSCI