非平稳信号的时间相关分析及其在语音处理中的应用

Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96) Pub Date : 1996-06-18 DOI:10.1109/TFSA.1996.550089

Ta‐Hsin Li, J. Gibson

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引用次数: 8

摘要

本文提出了一种显示和分析非平稳信号演化相关结构的新方法。该方法称为时间相关分析(TCA)，是基于随机信号表征的滤波器组方法，即参数滤波。讨论了可用于解释TCA图的TCA方法的一些性质。给出了一个应用于语音分析的实例。

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Time-correlation analysis of nonstationary signals with application to speech processing

This paper proposes a new method of displaying and analyzing the evolutionary correlation structure of nonstationary signals. The method, called time-correlation analysis (TCA), is based on a filter-bank approach for stochastic signal characterization known as parametric filtering. Some properties of the TCA method are discussed that can be used to interpret the TCA plot. Examples of an application to speech analysis are given.

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Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)

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