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Using a staircase procedure for the objective measurement of auditory stream integration and segregation thresholds

机译:使用阶梯法客观测量听觉流的整合和分离阈值

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摘要

Auditory scene analysis describes the ability to segregate relevant sounds out from the environment and to integrate them into a single sound stream using the characteristics of the sounds to determine whether or not they are related. This study aims to contrast task performances in objective threshold measurements of segregation and integration using identical stimuli, manipulating two variables known to influence streaming, inter-stimulus-interval (ISI) and frequency difference (Δf). For each measurement, one parameter (either ISI or Δf) was held constant while the other was altered in a staircase procedure. By using this paradigm, it is possible to test within-subject across multiple conditions, covering a wide Δf and ISI range in one testing session. The objective tasks were based on across-stream temporal judgments (facilitated by integration) and within-stream deviance detection (facilitated by segregation). Results show the objective integration task is well suited for combination with the staircase procedure, as it yields consistent threshold measurements for separate variations of ISI and Δf, as well as being significantly related to the subjective thresholds. The objective segregation task appears less suited to the staircase procedure. With the integration-based staircase paradigm, a comprehensive assessment of streaming thresholds can be obtained in a relatively short space of time. This permits efficient threshold measurements particularly in groups for which there is little prior knowledge on the relevant parameter space for streaming perception.
机译:听觉场景分析描述了将相关声音从环境中分离出来并使用声音的特性将它们整合到单个声音流中以确定它们是否相关的能力。这项研究的目的是在相同的刺激条件下对客观阈值测量隔离和整合的任务性能进行对比,操纵两个已知影响流的变量,刺激间隔(ISI)和频率差(Δf)。对于每次测量,一个参数(ISI或Δf)保持恒定,而另一个参数则通过阶梯法更改。通过使用这种范例,可以跨多个条件测试对象内部,在一个测试会话中覆盖宽的Δf和ISI范围。客观任务基于跨流的时间判断(通过整合促进)和流内偏差检测(通过隔离实现)。结果表明,客观积分任务非常适合与阶梯法结合使用,因为它可以针对ISI和Δf的单独变化产生一致的阈值测量值,并且与主观阈值显着相关。客观隔离任务似乎不太适合阶梯程序。使用基于集成的阶梯范式,可以在相对较短的时间内获得流阈值的全面评估。这允许进行有效的阈值测量,尤其是在对于流感知的相关参数空间缺乏先验知识的组中。

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