更新时间：2020-07-08 20:58
《王士元语音学论文集》是2010年世界图书出版公司出版的图书，作者是王士元。本文集基本涵盖了王士元先生在语音学及相关领域的研究成果，其中，“词汇扩散理论”是王士元先生对世界语言学理论的重要贡献，相关论文全部收入。
《王士元语音学论文集》收入王士元先生论文37篇，集中于语音学及相关领域研究，分为六个部分：语音学研究（14篇）、语音信息量研究（2篇）、音系学研究（3篇）、词汇扩散理论（11篇）、语言演变模型研究（2篇）、语音合成和识别研究（5篇）。
王士元（William S-Y Wang），美国加州大学伯克利分校名誉退休教授。香港中文大学伟伦研究教授。王士元先生在语音学、语言学等多个领域都有杰出贡献.并大力倡导跨学科研究；1960年以声学语音学方面的论文获得美国密歇根大学博士学位；1969年创立“词汇扩散”理论。闻名于世界语言学界。
编者导言
Segmentation Techniques in Speech Synthesis
Segment Inventory for Speech Synthesis
Transition and Release as Perceptual Cues for Final Plosives
Frequency Studies of English Consonants
Intrinsic Cues and Consonant Perception
The Perception of Stops after s
Phonological Features of Tone
The Measurement of Functional Load
Tone 3 in Pekinese
Vowel Features，Paired Variables，and the English Vowel Shift
Perceptual Distance and the Specification of Phonological Features
Competing Changes as a Cause of Residue
Implementation of Phonological Change：The Shuang-Feng Chinese Case
Project DOC：Its Methodological Basis
Tone Change in Ch60-Zhou Chinese：A Study in Lexical Diffusion
The Many Uses of F0
Why and How do We Study the Sounds of Speech?
Sound Change：Actuation and Implementation
Perception of Sentence Boundaries With and Without Semantic Information
Psychophysical Pitch Biases Related to Vowel Quality，Intensity Difference, and Sequential Order
Use of Optical Distance Sensing to Track Tongue Motion
Language Change：A Lexical Perspective
Variation and Selection in Language Change
声调感知问题
A Note on Tone Development
Middle Chinese Tones in Modern Dialects
Closure Duration in the Classification of Stops：A Statistical Analysis
Bidirectional Diffusion in Sound Change
吴语浊塞音的研究——统计上的分析和理论上的考虑
Snowball Effect in Lexical Diffusion：The Development of-s in the Third Person Singular Present Indicative in English
Performance of Mandarin Connected Digit Recognizer with Word Duration Modeling
Optimization Models of Sound Systems Using Genetic Algorithms
Computational Studies of Language Evolution
An Innovative Prosody Modeling Method for Chinese Speech Recognition
Tone Recognition of Continuous Cantonese Speech Based on Suppo Vector Machines
宏观语音学
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