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语音声学属性对语音特征信息加工的一些影响。

Some effects of acoustic attributes of speech on the processing of phonetic feature information.

作者信息

Soli S D

出版信息

J Exp Psychol Hum Percept Perform. 1980 Nov;6(4):622-38. doi: 10.1037//0096-1523.6.4.622.

Abstract

How do acoustic attributes of the speech signal contribute to feature-processing interactions that occur in phonetic classification? In a series of five experiments addressed to this question, listeners performed speeded classification tasks that explicitly required a phonetic decision for each response. Stimuli were natural consonant-vowel syllables differing by multiple phonetic features, although classification responses were based on a single target feature. In control tasks, no variations in nontarget features occurred, whereas in orthogonal tasks nonrelevant feature variations occurred but had to be ignored. Comparison of classification times demonstrated that feature information may either be processed separately as independent cues for each feature or as a single integral segment that jointly specifies several features. The observed form on processing depended on the acoustic manifestations of feature variation in the signal. Stop-consonant place of articulation and voicing cues, conveyed independently by the pattern and excitation source of the initial formant transitions, may be processed separately. However, information for consonant place of articulation and vowel quality, features that interactively affect the shape of initial formant transitions, are processed as an integral segment. Articulatory correlates of each type of processing are discussed in terms of the distinction between source features that vary discretely in speech production and resonance features that can change smoothly and continuously. Implications for perceptual models that include initial segmentation of an input utterance into a phonetic feature representation are also considered.

摘要

语音信号的声学属性如何促成在语音分类中发生的特征处理交互作用?在针对这个问题的一系列五个实验中,听众执行了加速分类任务,每个反应都明确需要做出语音判断。刺激是由多个语音特征不同的自然辅音-元音音节,尽管分类反应基于单个目标特征。在控制任务中,非目标特征没有变化,而在正交任务中,不相关的特征变化发生但必须被忽略。分类时间的比较表明,特征信息既可以作为每个特征的独立线索单独处理,也可以作为共同指定几个特征的单个整体片段处理。观察到的处理形式取决于信号中特征变化的声学表现。由初始共振峰过渡的模式和激励源独立传达的塞音发音部位和浊音线索可以单独处理。然而,辅音发音部位和元音质量的信息,这些特征交互地影响初始共振峰过渡的形状,则作为一个整体片段处理。根据语音产生中离散变化的源特征和可以平滑连续变化的共振特征之间的区别,讨论了每种处理类型的发音相关性。还考虑了对包括将输入话语初步分割成语音特征表示的感知模型的影响。

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