Morrill Tuuli, Baese-Berk Melissa, Heffner Christopher, Dilley Laura
Program in Linguistics, Department of English, George Mason University, 4400 University Drive, Fairfax, VA, 22030, USA.
Department of Linguistics, 1290 University of Oregon, Eugene, OR, 97403, USA.
Psychon Bull Rev. 2015 Oct;22(5):1451-7. doi: 10.3758/s13423-015-0820-9.
During lexical access, listeners use both signal-based and knowledge-based cues, and information from the linguistic context can affect the perception of acoustic speech information. Recent findings suggest that the various cues used in lexical access are implemented with flexibility and may be affected by information from the larger speech context. We conducted 2 experiments to examine effects of a signal-based cue (distal speech rate) and a knowledge-based cue (linguistic structure) on lexical perception. In Experiment 1, we manipulated distal speech rate in utterances where an acoustically ambiguous critical word was either obligatory for the utterance to be syntactically well formed (e.g., Conner knew that bread and butter (are) both in the pantry) or optional (e.g., Don must see the harbor (or) boats). In Experiment 2, we examined identical target utterances as in Experiment 1 but changed the distribution of linguistic structures in the fillers. The results of the 2 experiments demonstrate that speech rate and linguistic knowledge about critical word obligatoriness can both influence speech perception. In addition, it is possible to alter the strength of a signal-based cue by changing information in the speech environment. These results provide support for models of word segmentation that include flexible weighting of signal-based and knowledge-based cues.
在词汇提取过程中,听者会同时使用基于信号和基于知识的线索,并且来自语言语境的信息会影响对语音声学信息的感知。最近的研究结果表明,词汇提取中使用的各种线索是灵活运用的,并且可能会受到更大语音语境信息的影响。我们进行了两项实验,以检验基于信号的线索(远端语速)和基于知识的线索(语言结构)对词汇感知的影响。在实验1中,我们在包含一个声学上模糊的关键单词的语句中操纵远端语速,该关键单词对于语句在句法上的正确性要么是必需的(例如,康纳知道面包和黄油都在食品储藏室里),要么是可选的(例如,唐必须去看港口或者船只)。在实验2中,我们检查了与实验1中相同的目标语句,但改变了填充语句中语言结构的分布。这两项实验的结果表明,语速和关于关键单词必要性的语言知识都能影响语音感知。此外,通过改变语音环境中的信息,可以改变基于信号的线索的强度。这些结果为包括对基于信号和基于知识的线索进行灵活加权的单词分割模型提供了支持。