Grant K W, Walden B E
Walter Reed Army Medical Center, Washington, DC, USA.
J Speech Hear Res. 1996 Apr;39(2):228-38. doi: 10.1044/jshr.3902.228.
Prosodic speech cues for rhythm, stress, and intonation are related primarily to variations in intensity, duration, and fundamental frequency. Because these cues make use of temporal properties of the speech waveform they are likely to be represented broadly across the speech spectrum. In order to determine the relative importance of different frequency regions for the recognition of prosodic cues, identification of four prosodic features, syllable number, syllabic stress, sentence intonation, and phrase boundary location, was evaluated under six filter conditions spanning the range from 200-6100 Hz. Each filter condition had equal articulation index (AI) weights, AI = 0.01; p(C)isolated words approximately equal to 0.40. Results obtained with normally hearing subjects showed that there was an interaction between filter condition and the identification of specific prosodic features. For example, information from high-frequency regions of speech was particularly useful in the identification of syllable number and stress, whereas information from low-frequency regions was helpful in identifying intonation patterns. In spite of these spectral differences, overall listeners performed remarkably well in identifying prosodic patterns, although individual differences were apparent. For some subjects, equivalent levels of performance across the six filter conditions were achieved. These results are discussed in relation to auditory and auditory-visual speech recognition.
韵律语音线索中的节奏、重音和语调主要与强度、时长和基频的变化有关。由于这些线索利用了语音波形的时间特性，它们很可能在整个语音频谱中广泛分布。为了确定不同频率区域对韵律线索识别的相对重要性，在200 - 6100 Hz范围内的六种滤波条件下，对音节数、音节重音、句子语调以及短语边界位置这四种韵律特征的识别进行了评估。每种滤波条件下的清晰度指数（AI）权重相等，AI = 0.01；孤立单词的p(C)约等于0.40。正常听力受试者的实验结果表明，滤波条件与特定韵律特征的识别之间存在相互作用。例如，语音高频区域的信息在识别音节数和重音方面特别有用，而低频区域的信息有助于识别语调模式。尽管存在这些频谱差异，但总体而言，听众在识别韵律模式方面表现出色，不过个体差异也很明显。对于一些受试者来说，在六种滤波条件下都取得了相当的表现水平。将结合听觉和视听语音识别对这些结果进行讨论。
