摘要
一个语言信号的物理性质表现形式是无限多的。归一化的主要目的是消减人际随机差异,提取恒定参数,在语际变异中找到共性,从而使得人际比较和语际比较的研究成为可能。本文比较六种归一化方法,以及各种选点、定频域的方法,引入了判断方法好坏的标准指数和离散系数。结果表明对数 z-score(LZ)方法最好,与此相应的频域定义以均值和标准差为好,用以归一化的采样点以选用语音目标处的时点为佳。
This paper compares six mathematical transforms for F0 normalisation using eleven speakers of Shanghai,a dialect of Wu Chinese.Various strategies for defining range and selecting nor- malisation points are also exploited.The logarithmic z-score transform with normalisation points at F0 targets is found to be superior due to its higher normalisation indices,its advantages in statistics and, perhaps,its accordance with perception and production.
出处
《语言科学》
2004年第2期3-19,共17页
Linguistic Sciences
关键词
声调
基频
语言信号
离散系数
语音学
tone
fundamental frequency
normalization
between-speaker variation