An oscillatory correlation framework for computational auditory scene analysis

被引：0
|
作者：
Brown, GJ [1 ]
Wang, DL [1 ]
机构：
[1] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
来源：
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 12 | 2000年 / 12卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A neural model is described which uses oscillatory correlation to segregate speech from interfering sound sources. The core of the model is a two-layer neural oscillator network. A sound stream is represented by a synchronized population of oscillators, and different streams are represented by desynchronized oscillator populations. The model has been evaluated using a corpus of speech mixed with interfering sounds, and produces an improvement in signal-to-noise ratio for every mixture.
引用
收藏
页码：747 / 753
页数：7
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