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虎皮鹦鹉(Melopsittacus undulatus)与人类对合成元音的共振峰频率辨别

Formant-frequency discrimination of synthesized vowels in budgerigars (Melopsittacus undulatus) and humans.

作者信息

Henry Kenneth S, Amburgey Kassidy N, Abrams Kristina S, Idrobo Fabio, Carney Laurel H

机构信息

Department of Otolaryngology, University of Rochester, Rochester, New York 14642, USA.

Department of Brain and Cognitive Sciences, University of Rochester, Rochester, New York 14642, USA.

出版信息

J Acoust Soc Am. 2017 Oct;142(4):2073. doi: 10.1121/1.5006912.

Abstract

Vowels are complex sounds with four to five spectral peaks known as formants. The frequencies of the two lowest formants, F1and F2, are sufficient for vowel discrimination. Behavioral studies show that many birds and mammals can discriminate vowels. However, few studies have quantified thresholds for formant-frequency discrimination. The present study examined formant-frequency discrimination in budgerigars (Melopsittacus undulatus) and humans using stimuli with one or two formants and a constant fundamental frequency of 200 Hz. Stimuli had spectral envelopes similar to natural speech and were presented with random level variation. Thresholds were estimated for frequency discrimination of F1, F2, and simultaneous F1 and F2 changes. The same two-down, one-up tracking procedure and single-interval, two-alternative task were used for both species. Formant-frequency discrimination thresholds were as sensitive in budgerigars as in humans and followed the same patterns across all conditions. Thresholds expressed as percent frequency difference were higher for F1 than for F2, and were unchanged between stimuli with one or two formants. Thresholds for simultaneous F1 and F2 changes indicated that discrimination was based on combined information from both formant regions. Results were consistent with previous human studies and show that budgerigars provide an exceptionally sensitive animal model of vowel feature discrimination.

摘要

元音是具有四到五个被称为共振峰的频谱峰值的复杂声音。两个最低共振峰F1和F2的频率足以用于元音辨别。行为研究表明,许多鸟类和哺乳动物能够辨别元音。然而,很少有研究对共振峰频率辨别的阈值进行量化。本研究使用具有一个或两个共振峰且基频恒定为200Hz的刺激,对虎皮鹦鹉(Melopsittacus undulatus)和人类的共振峰频率辨别进行了研究。刺激的频谱包络与自然语音相似,并伴有随机的电平变化。对F1、F2以及F1和F2同时变化的频率辨别阈值进行了估计。两种物种都采用了相同的二降一升跟踪程序和单间隔二择一任务。虎皮鹦鹉的共振峰频率辨别阈值与人类一样灵敏,并且在所有条件下都遵循相同的模式。以频率差异百分比表示的阈值,F1高于F2,并且在具有一个或两个共振峰的刺激之间没有变化。F1和F2同时变化的阈值表明,辨别是基于来自两个共振峰区域的组合信息。结果与先前的人类研究一致,表明虎皮鹦鹉提供了一个对元音特征辨别异常灵敏的动物模型。

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