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使用相关方法来估计听众对语音的加权函数。

Use of a correlational method to estimate a listener's weighting function for speech.

作者信息

Doherty K A, Turner C W

机构信息

Syracuse University, New York 13244, USA.

出版信息

J Acoust Soc Am. 1996 Dec;100(6):3769-73. doi: 10.1121/1.417336.

Abstract

The purpose of this study was to determine if it is feasible to use the correlational method (Lutfi, 1995; Richards and Zhu, 1994) to estimate how listeners use or weight the information contained within various frequency bands of speech. Three naturally spoken vowel-consonant-vowel (VCV) syllables (/aba/, /aga/, and /ada/) were presented monaurally to listeners. Each of the VCV waveforms were filtered into three separate frequency bands (i.e., low, mid, and high). Each band was then independently and randomly degraded at various signal-to-noise (S/N) levels (-7, -5, -3, -1, or +1). On each trial, listeners were asked to identify the VCV that was presented to them. For each trial, the S/N level of each frequency band, the stimulus that was presented, and the listener's responses were all recorded and stored in a file. From this trial-by-trial data, a point biserial correlation was computed between the listener's response (correct or incorrect identification) and the degradation within each frequency band. The stronger the correlation, the greater influence that given frequency band had on the listener's performance on the task. From these relations it was shown that it is possible to obtain a listener's weighting function for speech. Results showed that although most listeners weighted the mid-frequency band the greatest, several of the listeners used different weighting strategies to perform the task. Several methodological issues are discussed in regard to improving the future application of the correlational method to speech.

摘要

本研究的目的是确定使用相关方法(卢特菲,1995年;理查兹和朱,1994年)来估计听众如何使用或权衡语音各频段中包含的信息是否可行。向听众单耳呈现三个自然说出的元音-辅音-元音(VCV)音节(/aba/、/aga/和/ada/)。每个VCV波形被过滤到三个单独的频段(即低频、中频和高频)。然后每个频段在不同的信噪比(S/N)水平(-7、-5、-3、-1或+1)下独立且随机地降级。在每次试验中,要求听众识别呈现给他们的VCV。对于每次试验,每个频段的信噪比水平、呈现的刺激以及听众的反应都被记录并存储在一个文件中。从这些逐次试验的数据中,计算听众的反应(正确或错误识别)与每个频段内的降级之间的点二列相关。相关性越强,给定频段对听众任务表现的影响就越大。从这些关系可以看出,有可能获得听众对语音的加权函数。结果表明,尽管大多数听众对中频带的加权最大,但有几位听众使用了不同的加权策略来完成任务。关于改进相关方法在语音方面未来应用的几个方法学问题进行了讨论。

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