摘要
建立了一个小型耳语音库,并分析了耳语音的特点。在此基础上引入基于子带功率谱熵的改进谱减法对耳语音进行增强处理。该方法通过分析耳语音信号的子带功率谱熵,检测出耳语音的噪音段和语音段,然后对噪音段和语音段分别进行改进谱减处理,以达到良好的去噪效果。实验证明:此方法能有效分离出耳语音的噪声段和语音段,与传统谱减法相比,信噪比有了较大的提高。
The whispered speech database is established and the acoustic characteristics of whispered speech is analyzed.An improved spectral subtraction method based on band-partitioning power spectral entropy is introduced.This method detects the noise and voice part by analyzing band-partitioning power spectral entropy of the whispered speech,and improved spectral subtractions are processed separately on the two parts in order to get better denoising effect.The experiment shows that the method can separate the noise and voice part of the whispered speech effectively and has better enhancement effect on the whisper compared to the traditional spectral methods.
出处
《传感器与微系统》
CSCD
北大核心
2012年第6期69-72,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60961002)
关键词
耳语音库
子带功率谱熵
改进谱减法
信噪比
whispered speech database
band-partitioning power spectral entropy
improved spectral subtraction
signal to noise ratio(SNR)
