南京理工大学学报（自然科学版）Issue(6)：857-862,6.
复杂环境下语音增强的复平面谱减法
Complex plane spectral subtraction for speech enhancement in complicated environments
摘要
Abstract
To reduce noise in complicated environments and eliminate the inferences of noise on the applications of speech recognition and speaker recognition systems in automatic military command and control fields,a new spectral subtraction is designed. Aiming at the incorrect assumption of the traditional spectral subtraction that the phase difference between the clean speech and noise signals is zero in the speech enhancement process, an improved spectral subtraction is proposed based on complex plane and considering the phase difference among the clean speech,the noise and the noisy speech signals. The gain function is corrected. The results of complicated battlefield simulation experiments show that the method proposed here performs better than the traditional spectral subtraction,especially in low signal noise ratio ( SNR) conditions. For the noisy speech with input SNR of 5 dB,the output SNR is more than 12. 21 dB after denoised by using the complex plane spectral subtraction,which increases 2. 1 dB than the result of the traditional spectral subtraction.关键词
复杂环境/语音增强/复平面/谱减法/增益函数Key words
complicated environments/speech enhancement/complex plane/spectral subtraction/gain function分类
信息技术与安全科学引用本文复制引用
王水平,唐振民,陈北京,蒋晔..复杂环境下语音增强的复平面谱减法[J].南京理工大学学报（自然科学版）,2013,(6):857-862,6.基金项目
国家自然科学基金(61103141) （61103141）
江苏省自然科学基金(CX2211_0261) （CX2211_0261）
江苏省高等学校大学生实践创新训练计划指导项目(301310300055) （301310300055）
