Speech Enhancement using EMD in Low SNR Environment

摘要：

Traditional spectral subtraction (SS) performs badly in low SNR environment. In this paper, we discuss the application of Empirical Mode Decomposition (EMD) in speech enhancement, and then introduce two approaches to speech enhancement using EMD. Based on EMD, the noise reduction scheme is fully data-driven. The basic principle of the method is the reconstruction of signal with the intrinsic mode functions, which are used SS or multi-band SS each. The improvements are more accurate noise estimation by using voice activity detection (VAD). It makes denoising more accurate and reasonable. Comparisons between four methods are performed under white Gaussian noise which is from Noisex92 database. The results demonstrate that the introduced methods achieve better speech quality or intelligibility in low SNR environment.

关键词： Speech enhancemen Empirical mode decomposition Spectral subtraction Multi-band

作者: Liran Shen Qingbo Yin Qi Zhang Mingyu Lu Zhi Liu Haochuan Zhen

作者单位: College of Information Science and Technology Dalian Maritime University Dalian, 116026, China School of Information and Communication Engineering Harbin Engineering University Harbin, 150001, Ch

会议类型: 国际会议

会议名称: 2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

会议地点: 三峡

会议语种:英文

页码: 2669-2673

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）