INFORMATIONAL PROCESSING OF COMPLEX SOUND .1. INTENSITY DISCRIMINATION

INFORMATIONAL PROCESSING OF COMPLEX SOUND .1. INTENSITY DISCRIMINATION
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DOI:
10.1121/1.398728
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发表时间:
1989-09-01
影响因子:
2.4
通讯作者:
LUTFI, RA
LUTFI, RA
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
LUTFI, RA

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本文报道了一些使用样本辨别范式来研究正常听力听者处理复杂非言语声音信息能力的初步实验。样本判别实验的一个重要特征是待判别的差值随试验的不同而随机变化。正是这种变化产生了潜在的信息。在目前的研究中,听众在每次试验中听到一对多音复合体(或序列)。音调的个别水平是从两个正态分布中得出的,只是平均值不同。听者的任务是识别具有较高平均音级的声音。在这些实验中,对于一个理想的观察者来说,d'的性能随着平方根n的增长而增长,其中n是音调的数量。无论音调是顺序演奏还是同时演奏,也无论它们的数量是从高频到低频还是从低频到高频增加,得到的d”都更接近于n的立方根。提出了一个初步的模型,其中辨别性能主要取决于声音的信息内容,并且在很大程度上独立于声音变化的物理维度。信息内容是根据潜在刺激分布的方差和来自数据的刺激模糊因子来定义的。根据该模型,估计传输信息在1.0 ~ 2.6位之间。
This paper reports on some initial experiments using the sample discrimination paradigm to investigate normal-hearing listeners'' ability to process information in complex, nonspeech sounds. An important feature of the sample discrimination experiment is that the value of the difference to be discriminated randomly varies from trial to trial. It is this variation that yields potential information. In the present study, listeners heard a pair of multitone complexes (or sequences) on each trial. The individual levels of the tone were drawn from two normal distributions differing only in mean. The listener''s task was to identify the sound having the higher mean tone level. For an ideal observer in these experiments, performance in d'' grows as the square root n, where n is the number of tones. Obtained d'' grew more nearly as the cube root of n regardless of whether the tones were played sequentially or simultaneously or whether they were increased in number from high frequencies to low or from low frequencies to high. A preliminary model is proposed in which discrimination performance depends predominantly on the information content of the sounds and is largely independent of the physical dimensions along which the sounds vary. Information content is defined in terms of the variance of the underlying stimulus distributions and a stimulus equivocation factor that is derived from the data. Based on this model, transmitted information is estimated to be between 1.0 and 2.6 bits.