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基于谱熵的耳语音增强研究
引用本文:杜志然,周萍,景新幸,李杰.基于谱熵的耳语音增强研究[J].传感器与微系统,2012,31(6):69-72.
作者姓名:杜志然  周萍  景新幸  李杰
作者单位:1. 桂林电子科技大学 计算机科学与工程学院,广西 桂林,541004
2. 桂林电子科技大学 电子工程与自动化学院,广西 桂林,541004
3. 桂林电子科技大学 信息与通信学院,广西 桂林,541004
基金项目:国家自然科学基金资助项目(60961002)
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。

关 键 词:耳语音库  子带功率谱熵  改进谱减法  信噪比

Research on whispered speech enhancement based on spectral entropy
DU Zhi-ran , ZHOU Ping , JING Xin-xing , LI Jie.Research on whispered speech enhancement based on spectral entropy[J].Transducer and Microsystem Technology,2012,31(6):69-72.
Authors:DU Zhi-ran  ZHOU Ping  JING Xin-xing  LI Jie
Affiliation:1(1.School of Computer Science and Engineering,Guilin University of Electronic Technology, Guilin 541004,China; 2.School of Electronic Engineering and Automation,Guilin University of Electronic Technology, Guilin 541004,China; 3.School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China)
Abstract: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.
Keywords:whispered speech database  band-partitioning power spectral entropy  improved spectral subtraction  signal to noise ratio(SNR)
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