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Training listeners to report the acoustic correlate of formant-frequency scaling using synthetic voices

机译:训练听众使用合成语音报告共振峰频率定标的声学相关性

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摘要

The vocal tract length of a speaker is the primary determinant of the range of formant frequencies (FFs) produced by that speaker. Listeners have demonstrated sensitivity to the average FFs produced by voices, for example, in estimating the relative heights of two speakers based on their speech. However, it is not known whether they can learn to identify voices based on the acoustic characteristic associated with the average FFs produced by a voice (this characteristic will be referred to as FF-scaling). To investigate this, a series of vowels corresponding to voices that differed in their average f0 and/or FF-scaling were synthesized. Listeners (n = 71) were trained to identify these voices using a training procedure where, for each trial, they heard the vowels representing a voice and then had to identify the stimulus voice from among a series of candidate voices that differed in terms of their FF-scaling and/or their f0. Results indicate that listeners can identify voices on the basis of FF-scaling quite accurately and consistently after only a short training session and that, although f0 weakly influences these estimates, they are most strongly determined by the stimulus FFs.
机译:说话者的声道长度是该说话者产生的共振峰频率(FF)范围的主要决定因素。听众已经证明了对声音产生的平均FF的敏感度,例如,在根据讲话者的讲话估计两个说话者的相对高度时。然而,未知他们是否可以学习基于与语音所产生的平均FF相关的声学特性来识别语音(此特性将称为FF缩放)。为了对此进行研究,合成了一系列对应于平均f0和/或FF缩放比例不同的语音的元音。听众(n = 71)经过训练,使用一种训练程序来识别这些声音,在每次试验中,他们都听到代表声音的元音,然后不得不从一系列候选声音中识别出刺激性声音,这些候选声音在其FF缩放和/或其f0。结果表明,听众可以在短时间的训练后就根据FF的缩放比例准确,一致地识别声音,尽管f0对这些估计值的影响很小,但它们最受刺激FF的影响。

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