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计算机工程 ›› 2012, Vol. 38 ›› Issue (04): 245-246. doi: 10.3969/j.issn.1000-3428.2012.04.080

• 开发研究与设计技术 • 上一篇    下一篇

基于改进谐波恢复算法的语音增强方法

吕言国,崔慧娟   

  1. (清华大学电子工程系信息科学与技术国家实验室,北京 100084)
  • 收稿日期:2011-05-09 出版日期:2012-02-20 发布日期:2012-02-20
  • 作者简介:吕言国(1980-),男,硕士研究生,主研方向:语音增强;崔慧娟,教授
  • 基金资助:

    国家自然科学基金资助项目(60572081)

Speech Enhancement Method Based on Improved Harmonic Retrieval Algorithm

LV Yan-guo, CUI Hui-juan   

  1. (National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China)
  • Received:2011-05-09 Online:2012-02-20 Published:2012-02-20

摘要: 当信噪比较低时,语音信号的高次谐波部分会完全淹没在噪音中。针对该情况,提出一种基于改进谐波恢复算法的语音增强方法。对经过MMSE-LSA算法语音增强处理后的时域输出语音信号进行非线性处理,得到准周期冲激信号,并将其与原增强信号相乘,突出语音的谐波分量。实验结果表明,改进算法较好地解决了低信噪比时谐波失真的问题,相比传统谐波恢复算法能更好地改善语音高次谐波的质量。

关键词: 语音增强, 谐波恢复, 非线性, 低信噪比, 冲激函数, 低通滤波

Abstract: The higher harmonic part of the speech signal is completely overwhelmed by the noise when Signal to Noise Ratio(SNR) is low. In response to this situation, a new algorithm is proposed. A quasi-periodic impulse signal is calculated based on the distorted signal processed by MMSE-LSA algorithm using a nonlinearity to regenerate harmonics. This artificial signal is then used to multiply the original enhanced signal, making the voice of the harmonic components to be prominent. Experimental results show that the algorithm is a good solution to the problem of Harmonic distortion better and is better than the traditional algorithm when improving the voice quality of high harmonics in low SNR.

Key words: speech enhancement, harmonic retrieval, nonlinearity, low Signal to Noise Ratio(SNR), impulse function, Low-pass Filtering(LPF)

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