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An improved adaptive gain equalizer for noise reduction with low speech distortion

机译:一种改进的自适应增益均衡器,用于降低语音失真的噪声

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摘要

In high-quality conferencing systems, it is desired to perform noise reduction with as limited speech distortion as possible. Previous work, based on time varying amplification controlled by signal-to-noise ratio estimation in different frequency subbands, has shown promising results in this regard but can suffer from problems in situations with intense continuous speech. Further, the amount of noise reduction cannot exceed a certain level in order to avoid artifacts. This paper establishes the problems and proposes several improvements. The improved algorithm is evaluated with several different noise characteristics, and the results show that the algorithm provides even less speech distortion, better performance in a multi-speaker environment and improved noise suppression when speech is absent compared with previous work.
机译:在高质量的会议系统中,期望以尽可能有限的语音失真来执行噪声降低。以前的工作基于在不同频率子带中由信噪比估计控制的时变放大,在这方面已显示出令人鼓舞的结果,但在连续语音密集的情况下可能会遇到问题。此外,为了避免伪像,降噪量不能超过一定水平。本文确定了问题并提出了一些改进措施。与几种不同的噪声特征相比,该改进算法得到了评估,结果表明,与以前的工作相比,该算法可提供更低的语音失真,在多扬声器环境中更好的性能以及改进的无语音时的噪声抑制能力。

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