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Wavelet analysis in recruitment of loudness compensation

机译:响度补偿募集的小波分析

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摘要

Wavelet-based multiband dynamic range compression is developed to compensate for a common hearing impairment known as recruitment of loudness. The algorithm combines standard compression with intensity-level dependent gain calculation. Complexity and performance are similar to traditional techniques. Further, the methods established can be applied to the more adaptive wavelet packets and local cosine bases which model the speech signal more closely.
机译:开发基于小波的多频带动态范围压缩来补偿称为响度增加的常见听力障碍。该算法将标准压缩与强度级别相关的增益计算结合在一起。复杂性和性能类似于传统技术。此外,所建立的方法可以应用于更紧密地对语音信号建模的自适应性小波包和局部余弦基。

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