| 语音信号非线性分析与处理 |
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| 引用本文： | 王跃科,林嘉宇,黄芝平,沈振康. 语音信号非线性分析与处理[J]. 通信技术, 2000, 0(1): 61-65 |
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| 作者姓名： | 王跃科 林嘉宇 黄芝平 沈振康 |
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| 作者单位： | 国防科技大学长沙410073 |
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| 基金项目： | 课题受湖南省自然科学基金和西安电子科技大学ISN国家重点实验室开放基金资助. |
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| 摘 要： | 介绍基于混沌理论的语音信号非线性分析和处理。概括语音信号非线性和混沌的依据；描述了语音信号混沌特性参量，包括Ｌｙａｐｕｎｏｖ指数和分形维；讨论运用Ｔａｋｅｎｓ嵌入定理于语音信号相空间重构时的研究议题，包括嵌入维数、时间延迟、等；最后阐述应用ＲＢＦ神经网络进行基于混沌的语音信号非线性处理。
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| 关 键 词： | 语音信号处理 语音信号分析 混沌 神经网络 |
| 修稿时间： | 1999-04-14 |
Nonlinear Analysis and Processing of Speech Signals |
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| Wang Yueke Lin Jiayu Huang Zhiping Shen Zhenkang. Nonlinear Analysis and Processing of Speech Signals[J]. Communications Technology, 2000, 0(1): 61-65 |
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| Authors: | Wang Yueke Lin Jiayu Huang Zhiping Shen Zhenkang |
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| Abstract: | This paper overviews nonlinear analysis and processing of speech signals based on chaos aspects. The existence of nonlinearity and chaotic properties in speech is presented. Chaotic invariants of speech are described, including Lyapunov exponents and fractal dimensions. The problems of applying Takens' Embedding Theorem to speech phase space reconstruction are discussed, including embedding dimension, time delay, influence of noise and filtering, prediction time, and requirement of data length. Then RBF neural network used in nonlinear processing of speech signals based on chaos aspects is presented. |
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| Keywords: | speech signals nonlinearity chaos neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
