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基于非线性信号分解的音素语音识别算法研究

ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483) Pub Date : 2001-09-02 DOI:10.1109/ICECS.2001.957442
A. Krot, P. Tkachova, H. Minervina
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引用次数: 2

摘要

描述了基于Volterra-Wiener泛函级数的非线性语音信号分解。提出了一种通过测量维纳核来解决音素识别问题的方法。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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On algorithm for phoneme speech recognition using nonlinear signal decomposition
Nonlinear speech signal decomposition based on Volterra-Wiener functional series is described. A possible solution of phoneme recognition problem by means of measuring Wiener kernels is proposed.
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ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483)
ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483)
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