Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods

被引：0

作者：

Peter Händel

机构：

[1] Royal Institute of Technology,Signal Processing Lab, School of Electrical Engineering

来源：

EURASIP Journal on Advances in Signal Processing | / 2007卷

关键词：

Spectral Density; Power Spectral Density; Performance Assessment; Power Spectral; Independent Research;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A theoretical framework for analysis of speech enhancement algorithms is introduced for performance assessment of spectral subtraction type of methods. The quality of the enhanced speech is related to physical quantities of the speech and noise (such as stationarity time and spectral flatness), as well as to design variables of the noise suppressor. The derived theoretical results are compared with the outcome of subjective listening tests as well as successful design strategies, performed by independent research groups.

引用

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