Department of Medical Physics and Acoustics and Cluster of Excellence Hearing4all, Carl von Ossietzky University of Oldenburg, Oldenburg,
J Acoust Soc Am. 2019 Dec;146(6):EL523. doi: 10.1121/1.5141369.
Sound onsets provide particularly valuable cues for musical instrument identification by human listeners. It has remained unclear whether this onset advantage is due to enhanced perceptual encoding or the richness of acoustical information during onsets. Here this issue was approached by modeling a recent study on instrument identification from tone excerpts [Siedenburg. (2019). J. Acoust. Soc. Am. 145(2), 1078-1087]. A simple Hidden Markov Model classifier with separable Gabor filterbank features simulated human performance and replicated the onset advantage observed previously for human listeners. These results provide evidence that the onset advantage may be driven by the distinct acoustic qualities of onsets.
声音起始提供了特别有价值的线索，有助于人类听众识别乐器。目前尚不清楚这种起始优势是由于增强的感知编码，还是由于起始时丰富的声学信息。本研究通过对来自音调摘录的乐器识别的最近研究进行建模[西登堡。（2019）。J.声学学会。Am. 145(2)，1078-1087]。具有可分离的 Gabor 滤波器组特征的简单隐马尔可夫模型分类器模拟了人类的表现，并复制了之前观察到的人类听众的起始优势。这些结果表明，起始优势可能是由起始时独特的声学特性驱动的。
