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音段干扰下的韵律峰值估计。

Prosodic peak estimation under segmental perturbations.

机构信息

Phonetics Laboratory, Oxford University, Oxford OX1 2JF, United Kingdom.

出版信息

J Acoust Soc Am. 2010 Feb;127(2):862-73. doi: 10.1121/1.3268511.

Abstract

Despite the apparent simplicity, measuring the position of peaks in speech fundamental frequency (f(0)) can produce unexpected results in a model where f(0) is the superposition of a supersegmental component and a segmental component. In these models, the measured f(0) peak position can be as much as an entire syllable different from the peak of the intonation component. This difference can be large enough so that the measured peak positions could falsely suggest a phonological distinction in the intonation where none really exists. This paper then discusses measurement techniques that are less sensitive to segmental effects than directly measuring the position of the f(0) maximum. A algorithm, called the "bracketed maximum," is presented. The performance of these techniques is compared on a corpus of speech data where the intonation is expected to be in a stable position. The bracketed maximum can reduce the variance of peak position measurements by at least 15%, in the presence of changing segmental structure, thereby presumably yielding a more accurate measurement of the intonation peak position.

摘要

尽管表面上看起来很简单,但在一个将基频(f(0))视为超音段成分和音段成分叠加的模型中,测量 f(0)的峰值位置可能会产生意想不到的结果。在这些模型中,测量得到的 f(0)峰值位置可能与语调成分的峰值相差整整一个音节。这种差异可能足够大,以至于测量得到的峰值位置可能会错误地暗示在语调中存在实际上并不存在的音位区别。本文随后讨论了一些技术,这些技术比直接测量 f(0)最大值对音段效应的敏感度更低。提出了一种称为“括号最大值”的算法。在预期语调处于稳定位置的语音数据语料库上比较了这些技术的性能。在存在变化的音段结构的情况下,括号最大值可以将峰值位置测量的方差至少降低 15%,从而可能更准确地测量语调峰值位置。

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