Audio Enhancement via Noise Reduction through Gabor Expansion

Youhong Lu, Guodong Shi, Jiansheng Zhang
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Abstract

Surrounded noises degrade both audio and video qualities in a multimedia environment. This paper applies Gabor expansion to passive noise reduction of speech signals. The noise reduction method and performance via Gabor expansion are studied. The Gabor expansion with Gaussian prototype function has a property that its time and frequency product is minimal. The property makes the noise-only segment more clearly and the noise estimate more robustly.
通过Gabor扩展减少噪声来增强音频
在多媒体环境中,周围噪声会降低音频和视频的质量。本文将Gabor展开应用于语音信号的被动降噪。研究了Gabor展开降噪方法及其降噪性能。具有高斯原型函数的Gabor展开式具有时频积极小的性质。该特性使得纯噪声分割更加清晰,噪声估计更加鲁棒。
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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