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Two level filtering using high band pass and Winner algorithms for speech enhancement

机译：使用高通和Winner算法进行二级滤波以增强语音

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摘要

Speech enhancement is used to improve the quality of the speech by reducing and removing the unwanted noise. The ultimate goal of this work is to improve the quality of the speech by increasing the clearness of the voice by reducing the background noise for the purpose of feature extraction. This paper dealing with few existing algorithms and novel proposed approach for noise filtering. Here the noise enhancement is done by two levels, with High Band Pass Filtering and Winner Filtering algorithms. Results are shown feature extraction after two way filtering produces better results than one way filtering approach.
机译：语音增强功能用于通过减少和消除不必要的噪声来提高语音质量。这项工作的最终目标是通过减少背景噪声（用于特征提取）来提高语音的清晰度，从而提高语音质量。本文讨论了一些现有的算法和新颖的噪声过滤方法。此处，通过高带通滤波和优胜者滤波算法通过两个级别完成噪声增强。结果表明，与单向过滤方法相比，双向过滤产生的特征提取效果更好。

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