基于CASA简化模型的语音增强算法

基于听觉现象分析（CASA）模型的基本原理，针对仅有非语音信号干扰情况下的单通道语音增强处理问题，利用人耳的频率掩蔽效应，提出了一种单通道简化CASA计算模型语音增强新算法，新算法通过提取混合语音输入中的有效语音时频成分并利用人耳的听觉掩蔽效应重构合成增强语音输出信号，通过在汽车噪声和白噪声干扰下的仿真实验结果表明，简化的CASA模型语音增强算法的输出信噪比约提高了10dB，且可以有效抑制干扰噪声的听觉影响，增强输出语音信号的可懂度。

Speech Enhancement Based on Simple CASA Model

Based on the principle of computational auditory scene analysis (CASA) and the frequency masking effect of human ears, a new simple single channel CASA speech enhancement algorithm was proposed to reduce the auditory effect of non speech noises in the mixed inputs. The useful speech time frequency components can be picked up successfully by the proposed algorithm, and they are used to reconstruct the enhanced outputs. Lots of computer simulations show that the proposed CASA speech enhancement algorithm can improve the output SNR (about 10 dB) and the understandable ability of the outputs distinctly in both case of using the car noise and the white noise.