Götz Philipp, Kowalczyk Konrad, Silzle Andreas, Habets Emanuël A P
Fraunhofer Institute for Integrated Circuits IIS, Audio & Multimedia Division, 91058 Erlangen, Germany
International Audio Laboratories Erlangen, 91058 Erlangen, Germany
J Acoust Soc Am. 2015 Feb;137(2):EL206-12. doi: 10.1121/1.4907547.
Human perception of room acoustics depends among others on the time of transition from early reflections to late reverberation in room impulse responses, which is known as mixing time. In this letter, a multi-channel mixing time prediction method is proposed, which in contrast to state-of-the-art channel-based predictors accounts for spatiotemporal properties of the sound field. The proposed diffuseness-based method is compared with existing model- and channel-based prediction methods through measurements and acoustic simulations, and is shown to correlate well with the perceptual mixing time. Furthermore, insights into relations between prediction methods and mixing time definitions based on reflection density are presented.
人类对室内声学的感知尤其取决于室内脉冲响应中从早期反射到后期混响的过渡时间，即所谓的混响时间。在本信函中，提出了一种多通道混响时间预测方法，与现有基于声道的预测器不同，该方法考虑了声场的时空特性。通过测量和声学模拟，将所提出的基于扩散度的方法与现有的基于模型和声道的预测方法进行了比较，结果表明该方法与感知混响时间具有良好的相关性。此外，还阐述了基于反射密度的预测方法与混响时间定义之间的关系。
