• 제목/요약/키워드: Directional Psychoacoustic Criteria

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방향심리인자를 이용한 최적 앰비소닉 패닝기법 (Optimized Ambisonic Panning Algorithm Using Directional Psychoacoustic Criteria)

  • 이신렬;이승래;성굉모
    • The Journal of the Acoustical Society of Korea
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    • 제25권1E호
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    • pp.8-13
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    • 2006
  • In this paper, an Optimized Ambisonic Panning Algorithm (OAPA) which reduces sound localization error, is proposed. In the conventional Ambisonic Panning Algorithm (APA), sound localization is usually different from the panning angle, especially when listeners are not in an ideal listening position, because of low signal separation among other channels. To overcome this problem, an OAPA using window functions is proposed. A proper window function can be verified, comprising of higher harmonic components than 2M+1 and improved DPC and channel separation. Analysis results demonstrate that the proposed method results in higher signal separation among other channels and lower sound localization errors than the conventional APA.

서라운드시스템을 위한 가상 음상정위 알고리즘 (Virtual Sound Localization algorithm for Surround Sound Systems)

  • 이신렬;한기영;이승래;성굉모
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2004년도 춘계학술발표대회 논문집 제23권 1호
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    • pp.81-84
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    • 2004
  • In this paper, we propose a virtual sound localization algorithm which improves the sound localization accuracy and sound color preservation for two channel and multi-channel surround speaker layouts. In conventional CPP laws, the sound direction is different from the panning angle and the sound color is different from real sound source especially when the speakers are spread out widely. To overcome this drawback, we design a virtual sound localization algorithm using directional psychoacoustic criteria (DPC) and sound color compensator (SCC). The analysis results show that in the case of the proposed system, the sound direction is the same as the panning angle in the audible frequency range and the sound color is less deviated from a real sound source than the conventional CPP law. In addition, its performance is verified by means of subjective tests using a real sound source.

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