Modeling musical instrument identification under realistic acoustical conditions (A06*)

音乐是一种声学交流形式，通常以高度复杂的声学场景为特色，声音来自多种乐器或在时间和频率上叠加的声音。这个项目的目标是测试和模拟在现实声学条件下对音乐场景的感知。使用乐器识别任务，这涉及到将人类识别性能的实验表征作为交响乐团场景的一部分，使用来自虚拟呈现的音乐厅声学的双耳线索。基于这些实验数据，该项目旨在构建一个双耳计算模型来模拟人类的行为。

Music is a form of acoustical communication that often features highly complex acoustic scenes with sounds from multiple musical instruments or voices that superimpose in time and frequency. The goal of this project is to test and model the perception of musical scenes under realistic acoustical conditions. Using an instrument identification task, this involves the experimental characterization of human identifica-tion performance as part of a symphony orchestra scenario with binaural cues from virtually rendered con-cert hall acoustics. Based on these experimental data, the project aims to construct a binaural computa-tional model to simulate human performance.