Estimating vowel formant discrimination thresholds using a single-interval classification task

被引：0

作者：

Oglesbee, Eric ^{[1
,2
]}

Kewley-Port, Diane ^{[1
]}

机构：

[1] Department of Linguistics, Indiana University, Bloomington, IN 47405, United States

[2] Bethel College, Department of Modern Language Studies, Mishawaka, IN 46545, United States

来源：

Journal of the Acoustical Society of America | 2009年 / 125卷 / 04期

关键词：

Previous research estimating vowel formant discrimination thresholds in words and sentences has often employed a modified two-alternative-forced-choice (2AFC) task with adaptive tracking. Although this approach has produced stable data; the length and number of experimental sessions; as well as the unnaturalness of the task; limit generalizations of results to ordinary speech communication. In this exploratory study; a typical identification task was used to estimate vowel formant discrimination thresholds. Specifically; a signal detection theory approach was used to develop a method to estimate vowel formant discrimination thresholds from a quicker; more natural single-interval classification task. In experiment 1 classification thresholds for words in isolation and embedded in sentences were compared to previously collected 2AFC data. Experiment 2 used a within-subjects design to compare thresholds estimated from both classification and 2AFC tasks. Due to instabilities observed in the experiment 1 sentence data; experiment 2 examined only isolated words. Results from these experiments show that for isolated words; thresholds estimated using the classification procedure are comparable to those estimated using the 2AFC task. These results; as well as an analysis of several aspects of the classification procedure; support the viability of this new approach for estimating discrimination thresholds for speech stimuli. © 2009 Acoustical Society of America;

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摘要：

Journal article (JA)

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页码：2323 / 2335