| 一种基于多子带分析的短波通信语音信号增强算法 |
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| 引用本文： | 张东方,蒋建中,郭军利.一种基于多子带分析的短波通信语音信号增强算法[J].信息工程大学学报,2012,13(1):60-65. |
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| 作者姓名： | 张东方 蒋建中 郭军利 |
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| 作者单位： | 信息工程大学信息工程学院,河南郑州450002 |
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| 摘 要： | 针对短波通信语音信号中噪声在频域分布的特点，引入了基于数据驱动的噪声估计算法，改进了频点信噪比的计算，提出了基于Bark子带的多种增强算法联合处理的方法。实验结果表明，该算法能有效抑制短波语音信号中的噪声，处理后的语音失真度小，语音自然度较高，避免了残留音乐噪声。
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| 关 键 词： | 短波通信 语音增强 噪声估计 Bark子带 |
Speech Signals Enhancement Algorithm in High-Frequency Communication Based on Multi-Band Analysis |
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| ZHANG Dong-fang,JIANG Jian-zhong,GUO Jun-li.Speech Signals Enhancement Algorithm in High-Frequency Communication Based on Multi-Band Analysis[J].Journal of Information Engineering University,2012,13(1):60-65. |
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| Authors: | ZHANG Dong-fang JIANG Jian-zhong GUO Jun-li |
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| Affiliation: | (Institute of Information Engineering, Information Engineering University, Zhengzhou 450002, China) |
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| Abstract: | This study boosts the performance of speech enhancement algorithm in high-frequency communication by leveraging the characteristic distribution in frequency domain. A data-driven noise estimation algorithm is discussed and Bark frequency band SNR is calculated, with multiple enhancement technigues presented. Simulation results indicate obvious speech distortion reduction, with little musical noise retained. |
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| Keywords: | high-frequency communication speech enhancement noise estimation Bark band |
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