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与区分口吃者和非口吃者言语样本相关的时间特征。

Temporal characteristics related to the discrimination of stutterers' and nonstutterers' speech samples.

作者信息

Prosek R A, Runyan C M

出版信息

J Speech Hear Res. 1982 Mar;25(1):29-33. doi: 10.1044/jshr.2501.29.

DOI:10.1044/jshr.2501.29
PMID:7087422
Abstract

Measurements of the difference in average speaking rate, average number of pauses, average pause duration, and average duration of the vowels that received primary stress were obtained from the speech samples of 35 stutterers and 35 nonstutterers. The samples had been screened to ensure that they contained no instances of overt stuttering, audible respirations, or inappropriate voicing. The measurements were used as the predictors in multiple linear regression analyses. The criterion variable was the average percent-correct discriminations of 40 subjects who listened to the samples in pairs and indicated which member of each pair was the stutterer. The results showed that the difference in speaking rate combined with either pause measure accounted for approximately 70% of the variance in the listeners' responses. The findings indicate that speaking rate and pauses are potential perceptual cues for listeners attempting to discriminate the speech of stutterers from that of nonstutterers.

摘要

从35名口吃者和35名非口吃者的语音样本中,获取了平均说话速率、平均停顿次数、平均停顿时长以及受到主重音的元音平均时长的差异测量值。这些样本经过筛选,以确保其中不包含明显口吃、可听见的呼吸声或不当发声的情况。这些测量值被用作多元线性回归分析中的预测变量。标准变量是40名受试者的平均正确辨别百分比,这些受试者成对聆听样本,并指出每对中的哪一个是口吃者。结果表明,说话速率的差异与任一停顿测量值相结合,约占听众反应差异的70%。研究结果表明,说话速率和停顿是试图区分口吃者和非口吃者语音的听众潜在的感知线索。

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引用本文的文献

1
Acoustic analysis in stuttering: a machine-learning study.口吃的声学分析:一项机器学习研究。
Front Neurol. 2023 Jun 30;14:1169707. doi: 10.3389/fneur.2023.1169707. eCollection 2023.
2
The Impact of Social-Cognitive Stress on Speech Variability, Determinism, and Stability in Adults Who Do and Do Not Stutter.社会认知压力对有口吃和无口吃成年人言语变异性、决定性和稳定性的影响。
J Speech Lang Hear Res. 2016 Dec 1;59(6):1295-1314. doi: 10.1044/2016_JSLHR-S-16-0145.