CAJ | 학술논문

针对语音系统受外界强噪声干扰而导致识别精度降低以及通信质量受损的问题，提出一种基于自适应噪声估计的语音增强方法。通过端点检测将语音信号分为语音段与非语音段，对这两种情况的噪声幅度谱分别进行自适应估计，并对谱减法中不具有通用性的假设进行研究从而改进原理公式。实验结果表明，相对于传统谱减法，该方法能更好地抑制音乐噪声，并保持较高清晰度和可懂度，提高了强噪声环境下的语音识别精度和通信质量。
침대어음계통수외계강조성간우이도치식별정도강저이급통신질량수손적문제，제출일충기우자괄응조성고계적어음증강방법。통과단점검측장어음신호분위어음단여비어음단，대저량충정황적조성폭도보분별진행자괄응고계，병대보감법중불구유통용성적가설진행연구종이개진원리공식。실험결과표명，상대우전통보감법，해방법능경호지억제음악조성，병보지교고청석도화가동도，제고료강조성배경하적어음식별정도화통신질량。
The recognition and communication accuracy of speech system is considered to be decreased under strong noise environment. To solve the problem, a speech enhancement method is presented which is based on adaptive noise estimation. In the new algorithm, the speech signal is divided into speech segments and non-speech segments by endpoint detection, and the noise amplitude spectrums of the two kings segments are estimated adaptively and respectively. This algo-rithm also improves the spectral subtraction principle formulas according to the research of hypothesis in spectral subtrac-tion which is not common. The experimental result shows that the algorithm in this paper performs better in reducing musical noise, maintaining high clarity and intelligibility, and improving the speech recognition and communication accu-racy under strong noise environment than traditional spectral subtraction.