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A mixed-order modeling approach for head-related transfer function in the spherical harmonic domain
Applied Acoustics ( IF 3.4 ) Pub Date : 2021-01-13 , DOI: 10.1016/j.apacoust.2020.107828
Junfeng Li , Biao Wu , Dingding Yao , Yonghong Yan

Head-related transfer function (HRTF) contains all the relevant cues that humans rely on to perceive the direction of a sound source, and its modeling has been widely studied in the past years. Motivated by the different degree of fluctuations in HRTF magnitude spectrum across frequency, in this paper, a mixed-order modeling approach in the spherical harmonic domain is proposed in which HRTF magnitude spectrum with low fluctuation is modeled by the low-order spherical harmonics and that with high fluctuation is modeled by the high-order spherical harmonics. Furthermore, a data-driven optimization approach is presented to determine the transition frequency that separates HRTF magnitude spectrum into two ranges with different degrees of fluctuations. The effectiveness of the proposed mixed-order modeling approach is examined using FABIAN HRTF database through listening tests. Results show that this mixed-order modeling approach enables to reduce the order of spherical harmonics to 8 in the low frequencies and 18 in the high frequencies without perceptual degradation in sound quality and localization.



中文翻译:

球谐域中头部相关传递函数的混合阶建模方法

头部相关传递函数(HRTF)包含了人类感知声源方向所依赖的所有相关线索,并且其建模在过去几年中得到了广泛研究。基于不同频率下HRTF幅度谱的不同程度的波动,本文提出了一种球谐域的混合阶建模方法,其中低波动的HRTF幅谱通过低阶球谐函数建模,并且具有高波动性的模型是由高阶球谐函数建模的。此外,提出了一种数据驱动的优化方法来确定将HRTF幅度谱分为具有不同程度波动的两个范围的过渡频率。使用FABIAN HRTF数据库通过听力测试来检验所提出的混合顺序建模方法的有效性。结果表明,这种混合阶建模方法可以将球形谐波的阶数在低频下降低到8,在高频下降低到18,而不会在音质和定位上造成明显的影响。

更新日期:2021-01-13
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