王士元先生是世界著名的语言学家和语音学家，对语言学理论有重要贡献。王士元先生致力于语言学和语音学的研究和教学近50年，共发表论著200多篇。他的“词汇扩散理论”打破了新语法学派音变理论一统天下的局面，是至今华人对语言学理论最为重要的贡献之一。本文集共收入王士元先生有关语音学和语言学研究的论文37篇，大致分为6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)。

本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)。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。

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 Chao-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

Language Change

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 Support Vector Machines

宏观语音学