NEW STRATEGIES FOR IMPROVING SPEECH ENHANCEMENT

被引：1

作者：

WHITE, MW

HOLDAWAY, RM

GUO, Y

PAULOS, JJ

机构：

[1] Electrical and Computer Engineering Department, North Carolina State University, Raleigh, NC 27695

来源：

INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING | 1990年 / 25卷 / 2-3期

基金：

美国国家卫生研究院;

关键词：

Auditory perception; Computer simulation; Hearing; Neural networks; Signal processing; Speech intelligibility;

D O I：

10.1016/0020-7101(90)90003-D

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We describe two design strategies that could substantially improve the performance of speech enhancement systems. Results from a preliminary study of pulse recovery are presented to illustrate the potential benefits of such strategies. The first strategy is a direct application of a non-linear, adaptive signal processing approach for recovery of speech in noise. The second strategy optimizes performance by maximizing the enhancement system's ability to evoke target speech percepts. This approach may lead to better performance because the design is optimized on a measure directly related to the ultimate goal of speech enhancement: accurate communication of the speech percept. In both systems, recently developed 'neural network' learning algorithms can be used to determine appropriate parameters for enhancement processing. © 1990.

引用

页码：101 / 124

页数：24

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