Linear predictive coding (LPC) analysis was used to create morphed natural tokens of English voiced stop consonants ranging from /b/ to /d/ and /d/ to /g/ in four vowel contexts (/i/, /æ/, /a/, /u/). Both vowel–consonant–vowel (VCV) and consonant–vowel (CV) stimuli were created. A total of 320 natural-sounding acoustic speech stimuli were created, comprising 16 stimulus series. A behavioral experiment demonstrated that the stimuli varied perceptually from /b/ to /d/ to /g/, and provided useful reference data for the ambiguity of each token. Acoustic analyses indicated that the stimuli compared favorably to standard characteristics of naturally-produced consonants, and that the LPC morphing procedure successfully modulated multiple acoustic parameters associated with place of articulation. The entire set of stimuli is freely available on the Internet (http://www.psy.cmu.edu/~lholt/php/StephensHoltStimuli.php) for use in research applications.

线性预测编码 (LPC) 分析用于在四个元音上下文（/i/、/æ/、/ a/, /u/)。元音-辅音-元音（VCV）和辅音-元音（CV）刺激都被创造出来了。共创建了 320 个听起来自然的声学语音刺激，包括 16 个刺激系列。行为实验表明，刺激在感知上从 /b/ 到 /d/ 到 /g/ 变化，并为每个词的歧义提供了有用的参考数据。声学分析表明，该刺激与自然产生的辅音的标准特征相比具有优势，并且 LPC 变形程序成功地调制了与发音部位相关的多个声学参数。