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首页> 美国卫生研究院文献>The Journal of the Acoustical Society of America >Comparative intelligibility investigation of single-channel noise-reduction algorithms for Chinese Japanese and English
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Comparative intelligibility investigation of single-channel noise-reduction algorithms for Chinese Japanese and English

机译：中文日文和英文单通道降噪算法的可懂度比较研究

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摘要

A large number of single-channel noise-reduction algorithms have been proposed based largely on mathematical principles. Most of these algorithms, however, have been evaluated with English speech. Given the different perceptual cues used by native listeners of different languages including tonal languages, it is of interest to examine whether there are any language effects when the same noise-reduction algorithm is used to process noisy speech in different languages. A comparative evaluation and investigation is taken in this study of various single-channel noise-reduction algorithms applied to noisy speech taken from three languages: Chinese, Japanese, and English. Clean speech signals (Chinese words and Japanese words) were first corrupted by three types of noise at two signal-to-noise ratios and then processed by five single-channel noise-reduction algorithms. The processed signals were finally presented to normal-hearing listeners for recognition. Intelligibility evaluation showed that the majority of noise-reduction algorithms did not improve speech intelligibility. Consistent with a previous study with the English language, the Wiener filtering algorithm produced small, but statistically significant, improvements in intelligibility for car and white noise conditions. Significant differences between the performances of noise-reduction algorithms across the three languages were observed.
机译：很大程度上基于数学原理已经提出了大量的单通道降噪算法。但是，大多数这些算法已通过英语语音进行了评估。鉴于不同语言（包括声调语言）的本机听众使用的感知提示不同，因此使用相同的降噪算法处理不同语言的嘈杂语音时，检查是否存在任何语言效果是很有意义的。在这项研究中，对三种单通道降噪算法进行了比较评估和调查，这些算法适用于从三种语言（中文，日文和英文）获取的嘈杂语音。干净的语音信号（中文单词和日语单词）首先被三种类型的噪声以两种信噪比破坏，然后通过五种单通道降噪算法进行处理。最后，将处理后的信号提供给听力正常的听众进行识别。可懂度评估表明，大多数降噪算法都无法提高语音清晰度。与先前使用英语进行的研究一致，Wiener滤波算法在针对汽车和白噪声情况的清晰度方面产生了微小但统计上显着的改进。观察到三种语言的降噪算法的性能之间存在显着差异。

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