Turner C W, Henn C C
Communication Sciences and Disorders, Syracuse University, NY 13244.
J Speech Hear Res. 1989 Mar;32(1):49-58. doi: 10.1044/jshr.3201.49.
The purpose of this study was to employ measures of frequency resolution obtained from individual subjects to predict each subject's vowel recognition performance. Input filter patterns at six test frequencies were obtained from normal-hearing and hearing-impaired subjects. These patterns were used to correlate frequency resolution with vowel recognition in those same subjects. Vowels were presented at levels at which the entire spectrum was fully audible to each subject. Using each subject's measured filter characteristics (and interpolated values for intermediate frequencies), an "internal spectrum" of each vowel was calculated by determining the outputs of all filter channels for the vowel as the input signal. It was speculated that the more similar two internal spectra for a subject were, the more often they would be confused in the vowel recognition task. This expectation received some support when the measure of similarity was a point-by-point Euclidean distance between the two internal spectra. Stronger support was obtained when the measure of similarity was based upon Klatt's (1982) "weighted slope metric" that emphasizes similarities of spectral peak locations. The present study demonstrates a relation between impairments of frequency resolution and vowel recognition. The described filter-bank model of vowel recognition suggests that measures of frequency resolution along with the acoustic spectra of vowel stimuli may be useful in predicting the recognition of vowels by individuals.
本研究的目的是采用从个体受试者获得的频率分辨率测量值来预测每个受试者的元音识别表现。从听力正常和听力受损的受试者那里获取了六个测试频率下的输入滤波器模式。这些模式被用于将频率分辨率与同一受试者的元音识别进行关联。元音呈现的水平要使每个受试者都能完全听到整个频谱。利用每个受试者测量的滤波器特性（以及中间频率的插值），通过将元音作为输入信号确定所有滤波器通道的输出，计算出每个元音的“内部频谱”。据推测，对于一个受试者来说，两个内部频谱越相似，在元音识别任务中它们被混淆的频率就越高。当相似性度量是两个内部频谱之间的逐点欧几里得距离时，这一预期得到了一些支持。当相似性度量基于克拉特（1982年）强调频谱峰值位置相似性的“加权斜率度量”时，得到了更强有力的支持。本研究证明了频率分辨率受损与元音识别之间的关系。所描述的元音识别滤波器组模型表明，频率分辨率测量值以及元音刺激的声谱可能有助于预测个体对元音的识别。
