Perceptual Effects of Nasal Cue Modification

Fan Bai
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Abstract

Acoustic or perceptual cues used for speech perception can be very helpful in almost all areas of speech signal processing. A new methodology 3-Dimensional-Deep Search and a new visualized intelligible time-frequency computer- based model AI-gram is developed and being researched from last several years (Human Speech Recognition (HSR) re- search group at the University of Illinois Urbana-Champaign) for isolation of stable perceptual cues of consonants. The perceptual cues of nasal consonants (1) are successfully found considering these techniques (1). The previous work is ex- tended by assessing the changes in nasal sound perception and cue region is modified by using digital signal processing method. The amplitude of the perceptual cue region is amplified, attenuated or ignored completely and then the perception score is measured. A high correlation between the amplitude of the cue region and the perception score is found. The in- telligibility of the entire token is increased and decreased approximately in a similar fashion as the cue region modified amplitude which is measured by the MMSE shift of the perceptual score curve. This validates that the regions identified are perceptual cue regions for nasal consonants. The digital signal processing method proposed can be used as a new way of speech signal enhancement in noisy conditions.
鼻线索修饰的知觉效应
用于语音感知的声学或感知线索在语音信号处理的几乎所有领域都非常有用。近年来,伊利诺伊大学香槟分校的人类语音识别(HSR)研究小组开发并研究了一种新的三维深度搜索方法和一种新的可视化可理解的时频计算机模型AI-gram,用于分离辅音的稳定感知线索。利用这些技术(1),成功地发现了鼻辅音的感知线索(1)。通过评估鼻音感知的变化,扩展了之前的工作,并使用数字信号处理方法对线索区域进行了修改。感知线索区域的振幅被放大、减弱或完全忽略,然后测量感知得分。线索区域的振幅与感知得分之间存在高度的相关性。整个标记的可理解性大致以与线索区域修改幅度相似的方式增加和减少,线索区域修改幅度由感知得分曲线的MMSE位移测量。这证实了识别的区域是鼻辅音的感知提示区域。所提出的数字信号处理方法可作为噪声条件下语音信号增强的一种新方法。
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