New Approach to Speech Signal Recognition Using Nonlinear Signal Decomposition by Measuring Wiener Kernels

Alexander M. Krot; Boris A. Goncharov; Polina P. Tkachova

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New Approach to Speech Signal Recognition Using Nonlinear Signal Decomposition by Measuring Wiener Kernels

机译：测量维纳核的非线性信号分解语音信号识别新方法

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摘要

The nonlinear speech signal decomposition based on Volterra-Wiener functional series is described. The solution of the phoneme recognition problem by means of measuring Wiener kernels is proposed. The nonlinear filter bank structure is considered for phoneme recognition solving.

机译：描述了基于Volterra-Wiener函数级数的非线性语音信号分解。提出了通过测量维纳核来解决音素识别问题的方法。考虑将非线性滤波器组结构用于音素识别求解。

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来源
《International Journal of Smart Engineering System Design》 |2002年第4期|p.265-276|共12页
作者
Alexander M. Krot; Boris A. Goncharov; Polina P. Tkachova;
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作者单位

Institute of Engineering Cybernetics, National Academy of Sciences of Belarus, 6 Surganov Str., Minsk 220012, Belarus;

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原文格式 PDF
正文语种 eng
中图分类控制论、信息论（数学理论）;
关键词
nonlinear signal decomposition; volterra-wiener functional series; nonlinear filter bank; wiener kernels; phoneme recognition; acoustic processor;

机译：非线性信号分解电压维纳函数级数非线性滤波器组维纳核音素识别声处理器;
入库时间 2022-08-18 00:18:46

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2. Periodic signals for measuring nonlinear Volterra kernels [J] . Evans C., Rees D. IEEE Transactions on Instrumentation and Measurement . 1996,第2期

机译：用于测量非线性Volterra内核的周期信号
3. Degradation Decomposition of the Perceived Quality of Speech Signals on the Basis of a Perceptual Modeling Approach [J] . JOHN G. BEERENDS, BARTOSZ BUSZ, PAUL OUDSHOORN, Journal of the Audio Engineering Society . 2007,第12期

机译：基于感知建模方法的语音信号感知质量的退化分解
4. On approach to speech recognition using nonlinear signal decomposition into volterra-wiener functional series [C] . Krot, A.M., Tkachova, Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean . 2000

机译：基于非线性信号分解为Volterra-Wiener函数级数的语音识别方法
5. A modified extended Kalman filter approach to demodulation of AM-FM signals and its applications to audio and speech signals. [D] . Pai, Wan-Chieh. 1998

机译：一种改进的扩展卡尔曼滤波器方法，用于解调AM-FM信号及其在音频和语音信号中的应用。
6. Evaluation of multi-class support-vector machines strategies and kernel adjustment levels in hand posture recognition by analyzing sEMG signals acquired from a wearable device [O] . Thays Falcari, Osamu Saotome, Ricardo Pires, 2020

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New Approach to Speech Signal Recognition Using Nonlinear Signal Decomposition by Measuring Wiener Kernels

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