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Identification of Sounds with Multiple Timbres

机译:用多个Timbres识别声音

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The present research examined identification of complex sounds created by simultaneously playing two or more component sounds in various combinations. Sixteen component sounds were used, created by imposing four distinct temporal patterns on four basic timbres, two musical timbres and two complex real-world timbres. In the present experiment, complex sounds were created by simultaneously playing one to four component sounds, each with a different timbre. Subjects heard a complex sound, followed by a second complex sound that always differed from the first by adding a component, deleting a component or substituting a component. Subjects indicated which component had been added, deleted, or substituted. Sound changes were identified with moderate accuracy (above 60 percent). The errors committed varied with temporal pattern, timbre, sound change and density. The analyses of identification confusions indicated that subjects identified the correct timbre of the sound change even when temporal patterning was confused. The finding that temporal patterns were confused largely within the sound category of the correct response limits the previous interpretation of other research, which found that similar temporal patterns are confusable even with differences in spectra. Results of the present investigation suggest that multiple, temporal patterns with varying timbres can be presented from a single physical location to convey a change in state or status of an informative sound source. Design contributions of the present research to auditory information systems such as virtual reality are discussed. For such an application, a combination of physical separation and multiple patterns with varying timbres could provide a coherent, yet informa-tionally complex, auditory display.
机译:本研究检测了通过同时播放各种组合的两个或多个组件声音来确定的复杂声音的识别。使用了十六个组件声音,通过在四个基本的Timbres,两个音乐播种和两个复杂的现实世界Timbres上施加四个不同的时间模式来创建。在本实验中,通过同时播放一到四个组件声音来创建复杂的声音,每个音乐都具有不同的时间。受试者听到复杂的声音,然后通过添加组件,删除组件或替换组件来始终从第一次不同的第二复杂声音。受试者表明已经添加了哪种组分,删除或替代。以适度的准确性(高于60%)确定声音变化。提出的错误随时间模式,音色,声音变化和密度而变化。识别混淆的分析表明,即使颞剖视图混淆,受试者也发现了声音变化的正确时间表。时间模式在很大程度上在正确的响应的声音类别内被混淆,限制了对其他研究的先前解释,这也发现即使在光谱中的差异也是相同的时间模式。本研究结果表明,可以从单个物理位置呈现多个,具有变化的Timbres的时间图案来传达信息性声源的状态或状态的变化。讨论了对虚拟现实等听觉信息系统的研究的设计贡献。对于这样的应用,物理分离和具有不同Timbres的多个模式的组合可以提供相干但有线性地复杂的听觉显示。

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