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人工耳蜗使用者和正常听力者对语音编码语音进行分词的准确性和线索使用。

Accuracy and cue use in word segmentation for cochlear-implant listeners and normal-hearing listeners presented vocoded speech.

机构信息

Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland 20742, USA.

Department of Hearing and Speech Sciences, University of Maryland, College Park, Maryland 20742, USA.

出版信息

J Acoust Soc Am. 2021 Oct;150(4):2936. doi: 10.1121/10.0006448.

Abstract

Cochlear-implant (CI) listeners experience signal degradation, which leads to poorer speech perception than normal-hearing (NH) listeners. In the present study, difficulty with word segmentation, the process of perceptually parsing the speech stream into separate words, is considered as a possible contributor to this decrease in performance. CI listeners were compared to a group of NH listeners (presented with unprocessed speech and eight-channel noise-vocoded speech) in their ability to segment phrases with word segmentation ambiguities (e.g., "an iceman" vs "a nice man"). The results showed that CI listeners and NH listeners were worse at segmenting words when hearing processed speech than NH listeners were when presented with unprocessed speech. When viewed at a broad level, all of the groups used cues to word segmentation in similar ways. Detailed analyses, however, indicated that the two processed speech groups weighted top-down knowledge cues to word boundaries more and weighted acoustic cues to word boundaries less relative to NH listeners presented with unprocessed speech.

摘要

人工耳蜗(CI)使用者会体验到信号衰减,这导致他们的言语感知能力比正常听力(NH)使用者差。在本研究中,词切分困难,即感知上把言语流切分为单独单词的过程,被认为是导致这种性能下降的一个可能因素。将 CI 使用者与一组 NH 使用者(分别呈现未经处理的语音和八通道噪声编码语音)进行比较,评估他们在具有词切分歧义的短语(例如,“an iceman”与“a nice man”)上的切分能力。结果表明,与 NH 使用者相比,CI 使用者在听到处理后的语音时,切分单词的能力更差。从广义上看,所有组都以相似的方式使用词切分线索。然而,详细分析表明,与呈现未经处理语音的 NH 使用者相比,两个处理后的语音组更倾向于基于词边界的自上而下的知识线索,而对基于词边界的声学线索的权重较小。

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Word segmentation from noise-band vocoded speech.从噪声带声码语音中进行分词。
Lang Cogn Neurosci. 2017;32(10):1344-1356. doi: 10.1080/23273798.2017.1354129. Epub 2017 Jul 20.

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