论文标题
依赖噪声的超级高斯 - 基于双重麦克风语音增强助听器应用智能手机的助听器应用
Noise dependent Super Gaussian-Coherence based dual microphone Speech Enhancement for hearing aid application using smartphone
论文作者
论文摘要
在本文中，语音和噪声信号之间的相干性用于获得语音增强（SE）增益函数，并结合超级高斯关节最大值A后验（SGJMAP）单个麦克风SE增益函数。提出的SE方法可以在智能手机上实现，该智能手机可作为助听器的辅助设备。尽管相干SE增益功能可以很好地抑制背景噪声，但它会扭曲语音。相反，使用SGJMAP的SE通过使用后过滤器所包含的其他音乐噪声来提高语音质量。这两个增益函数的加权结合在噪声抑制和语音失真之间达到了平衡。在派生的增益功能中引入了“加权”参数，以允许智能手机用户根据不同的背景噪声及其舒适性听力来控制加权因子。与本文在信号与噪声比的几个噪声条件下，相比之下，该方法的客观和主观度量显示出有效的改进，以-5 dB，0 dB和5 dB。
In this paper, the coherence between speech and noise signals is used to obtain a Speech Enhancement (SE) gain function, in combination with a Super Gaussian Joint Maximum a Posteriori (SGJMAP) single microphone SE gain function. The proposed SE method can be implemented on a smartphone that works as an assistive device to hearing aids. Although coherence SE gain function suppresses the background noise well, it distorts the speech. In contrary, SE using SGJMAP improves speech quality with additional musical noise, which we contain by using a post filter. The weighted union of these two gain functions strikes a balance between noise suppression and speech distortion. A 'weighting' parameter is introduced in the derived gain function to allow the smartphone user to control the weighting factor based on different background noise and their comfort level of hearing. Objective and subjective measures of the proposed method show effective improvement in comparison to standard techniques considered in this paper for several noisy conditions at signal to noise ratio levels of -5 dB, 0 dB and 5 dB.
