Speech Enhancement under Aviation Noise

摘要：

By analyzing the characteristics of the spectrum of aviation noise, short-time energy in frequency domain of the signals is used to detect voice activity while signal noise ratio (SNR) is very low. Transition frames are added through forward decision and backward decision and divided into different groups in detail according to the energy by employing a modified method of spectral subtraction. In addition, speech frames, transition frames, and noise frames are processed separately in order to get rid of music noise. The experimental results show that the method can offer better performances of the speech under strong aviation noise. Simulation results show that both SNR and articulation are greatly improved.

关键词： Voice activity detection Speech enhancement Transition frame Spectral subtraction

作者: Yuan Yao Benshun Yi Yongqiang Yao

作者单位: School of Electronic Information,Wuhan University,Wuhan 430079,Hubei ,China;Department of Informatio School of Electronic Information,Wuhan University,Wuhan 430079,Hubei ,China

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）