Psychology, School of Life and Health Sciences, Aston University, Birmingham B4 7ET, United Kingdom.
J Acoust Soc Am. 2010 Aug;128(2):804-17. doi: 10.1121/1.3445786.
Speech comprises dynamic and heterogeneous acoustic elements, yet it is heard as a single perceptual stream even when accompanied by other sounds. The relative contributions of grouping "primitives" and of speech-specific grouping factors to the perceptual coherence of speech are unclear, and the acoustical correlates of the latter remain unspecified. The parametric manipulations possible with simplified speech signals, such as sine-wave analogues, make them attractive stimuli to explore these issues. Given that the factors governing perceptual organization are generally revealed only where competition operates, the second-formant competitor (F2C) paradigm was used, in which the listener must resist competition to optimize recognition [Remez, R. E., et al. (1994). Psychol. Rev. 101, 129-156]. Three-formant (F1+F2+F3) sine-wave analogues were derived from natural sentences and presented dichotically (one ear=F1+F2C+F3; opposite ear=F2). Different versions of F2C were derived from F2 using separate manipulations of its amplitude and frequency contours. F2Cs with time-varying frequency contours were highly effective competitors, regardless of their amplitude characteristics. In contrast, F2Cs with constant frequency contours were completely ineffective. Competitor efficacy was not due to energetic masking of F3 by F2C. These findings indicate that modulation of the frequency, but not the amplitude, contour is critical for across-formant grouping.
言语包含动态和异构的声学元素,但即使伴随着其他声音,它也被听成一个单一的感知流。分组“基元”和特定于言语的分组因素对言语感知连贯性的相对贡献尚不清楚,后者的声学相关性也尚未确定。简化语音信号(如正弦波模拟)具有参数可操纵性,使其成为探索这些问题的有吸引力的刺激。鉴于控制感知组织的因素通常仅在竞争起作用时才显现出来,因此使用了第二共振峰竞争者(F2C)范式,在该范式中,听众必须抵制竞争以优化识别[Remez,RE,等。(1994)。心理评论。101,129-156]。从自然句子中得出了三共振峰(F1+F2+F3)正弦波模拟,并以双耳方式呈现(一只耳朵=F1+F2C+F3;对侧耳朵=F2)。F2C 是通过单独操纵其幅度和频率轮廓从 F2 衍生而来的。具有时变频率轮廓的 F2C 是非常有效的竞争者,无论其幅度特征如何。相比之下,具有恒定频率轮廓的 F2C 完全无效。竞争者的功效不是由于 F2C 对 F3 的能量掩蔽。这些发现表明,频率调制,而不是幅度调制,对于跨共振峰分组至关重要。