| 基于计算听觉场景分析的语音增强改进算法 |
| |
| 引用本文： | 王雨,林家骏,袁文浩.基于计算听觉场景分析的语音增强改进算法[J].华东理工大学学报(自然科学版),2012,38(5):617-621. |
| |
| 作者姓名： | 王雨 林家骏 袁文浩 |
| |
| 作者单位： | 华东理工大学信息科学与工程学院,上海,200237 |
| |
| 摘 要： | 针对单通道语音增强问题,基于计算听觉场景分析(CASA)的原理,提出了一种基于CASA计算模型的语音增强改进算法。该算法在特征提取中选择了目标语音有效能量、信道互相关等特征,对语谱能量和互相关特征的阈值选取进行了改进。在5种低信噪比噪声干扰条件下的仿真实验结果证明,该算法输出增强语音的信噪比平均提高了9.32dB,有效地抑制了噪声。
|
| 关 键 词： | 语音增强 计算听觉场景分析 语音有效能量 信道互相关 二值掩码 |
Improved Speech Enhancement Based on Computational Auditory Scene Analysis |
| |
| WANG Yu,LIN Jia-jun,YUAN Wen-hao.Improved Speech Enhancement Based on Computational Auditory Scene Analysis[J].Journal of East China University of Science and Technology,2012,38(5):617-621. |
| |
| Authors: | WANG Yu LIN Jia-jun YUAN Wen-hao |
| |
| Institution: | (School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China) |
| |
| Abstract: | Based on computational auditory scene analysis(CASA),this paper proposes an improved algorithm for monaural speech enhancement.In the proposed algorithm,both effective energy of target speech and cross-channel correlation are chosen as extracted feature.Moreover,this algorithm improves the threshold selection on energy spectrum and cross-channel correlation feature.Under the condition of low SNR with 5 different noises,the experimental results show that the proposed algorithm can raise the output SNR by 9.32 dB averagely,and attenuates noise effectively. |
| |
| Keywords: | speech enhancement computational auditory scene analysis effective energy of targetspeech cross channel correlation binary mask |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
