《王士元语音学论文集》PDF下载

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  • 作  者:王士元著
  • 出 版 社:北京/西安:世界图书出版公司
  • 出版年份:2010
  • ISBN:9787510017728
  • 页数:651 页
图书介绍:王士元先生是国际著名的语言学家和语音学家,对世界语言学理论有重要贡献。本论文集收录了王士元先生有关语音学、音系学、词汇扩散理论、语音合成和识别等方面的重要文章。

Segmentation Techniques in Speech Synthesis 1

Segment Inventory for Speech Synthesis 10

Transition and Release as Perceptual Cues for Final Plosives 18

Frequency Studies of English Consonants 29

Intrinsic Cues and Consonant Perception 40

The Perception of Stops after s 49

Phonological Features of Tone 53

The Measurement of Functional Load 72

Tone 3 in Pekinese 90

Vowel Features,Paired Variables,and the English Vowel Shift 99

Perceptual Distance and the Specification of Phonological Features 118

Competing Changes as a Cause of Residue 132

Implementation of Phonological Change:The Shuang-Feng Chinese Case 154

Project DOC:Its Methodological Basis 163

Tone Change in Cháo-Zhōu Chinese:A Study in Lexical Diffusion 178

The Many Uses of F0 192

Why and How do We Study the Sounds of Speech? 216

Sound Change:Actuation and Implementation 233

Language Change 268

Perception of Sentence Boundaries With and Without Semantic Information 284

Psychophysical Pitch Biases Related to Vowel Quality,Intensity Difference,and Sequential Order 292

Use of Optical Distance Sensing to Track Tongue Motion 317

Language Change:A Lexical Perspective 334

Variation and Selection in Language Change 356

声调感知问题 377

A Note on Tone Development 388

Middle Chinese Tones in Modern Dialects 395

Closure Duration in the Classification of Stops:A Statistical Analysis 403

Bidirectional Diffusion in Sound Change 418

吴语浊塞音的研究——统计上的分析和理论上的考虑 474

Snowball Effect in Lexical Diffusion:The Development of-s in the Third Person Singular Present Indicative in English 495

Performance of Mandarin Connected Digit Recognizer with Word Duration Modeling 518

Optimization Models of Sound Systems Using Genetic Algorithms 529

Computational Studies of Language Evolution 555

An Innovative Prosody Modeling Method for Chinese Speech Recognition 593

Tone Recognition of Continuous Cantonese Speech Based on Support Vector Machines 616

宏观语音学 640