首页 | 本学科首页   官方微博 | 高级检索  
     

强噪声条件下基于小波包能量的语音增强新算法
引用本文:李盛,王健琪,荆西京,刘天. 强噪声条件下基于小波包能量的语音增强新算法[J]. 医学争鸣, 2009, 30(9): 846-848
作者姓名:李盛  王健琪  荆西京  刘天
作者单位:第四军医大学生物医学工程系电子学教研室,陕西,西安,710033  
基金项目:国家自然科学基金,国家博士后科学基金 
摘    要:目的:研究在强噪声背景条件下增强语音质量的方法,为在复杂条件下获取语音信号奠定基础.方法:在应用小波包分析技术对语音信号进行分解与重构的基础上,对分解后的小波包系数进行尺度,时间2个方面的阈值自适应调节,再对此系数进行重构以实现语音信号的噪声自适应消除.结果:在信噪比为0dB的强噪声条件下,在0~3000Hz较宽的频率段上,增强后的语音频谱明显清晰,且各频谱成份更加丰富.结论:本方法能够在强背景噪声条件下对语音信号中的噪声成分进行有效去除.

关 键 词:语音  小波包能量  噪声

A novel speech enhancement method based on wavelet packet energy in strong noise background
LI Sheng,WANG Jian-Qi,JING Xi-Jing,LIU Ti,epartment of Electronics,School of Biomedical Engineering,Fourth Military Medical University,Xi''an ,China. A novel speech enhancement method based on wavelet packet energy in strong noise background[J]. Negative, 2009, 30(9): 846-848
Authors:LI Sheng  WANG Jian-Qi  JING Xi-Jing  LIU Ti  epartment of Electronics  School of Biomedical Engineering  Fourth Military Medical University  Xi''an   China
Affiliation:LI Sheng,WANG Jian-Qi,JING Xi-Jing,LIU TianDepartment of Electronics,School of Biomedical Engineering,Fourth Military Medical University,Xi'an 710033,China
Abstract:AIM:To explore a novel speech enhancement method based on wavelet packet energy for speech signal acquisition in strong noise background. METHODS: Speech signals were decomposed and reconstructed by application of wavelet packet analysis technology. Both the time and scale thresholds of wavelet packet coefficient were adaptively adjusted so that the wavelet packet coefficient could be reconstructed to accomplish noise adaptive canceling. RESULTS: In condition of strong noise at 0 dB signal to noise ratio, t...
Keywords:speech  wavelet packet energy  noise  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号