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View Code? Open in Web Editor NEWA New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation
A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation
Hi, Yueyue Na,
demo script中的serdb的原始设定值为-20,AuxP的结果很好。
现象①:改变serdb的值,如-15dB/-10dB等,在保证nearend和mic信号不截幅的前提下,AuxP的结果并不好,尤其是从10s处的echo path change开始。
现象②:serdb=-15,改变gamma的值,gamma=0.5(原始值为0.2),在保证nearend和mic信号不截幅的前提下,AuxP的结果变好,但当serdb=-10,gamma=0.5,AuxP的结果仍然很差。
问题①:在当前的demo中,不同serdb的AuxP的结果有一些差异,请问与什么因素有关?如何改进?
问题②:用Aux-ICA模型做AEC,在阿里系的产品中有实际的工程应用吗?
期待你的解惑,谢谢!
纳老师您好,
我用了实录的音频(有一定的震动)跑您这份代码,貌似效果不太稳定,可能比nlms要差。我试过用频域的auxIVA去做回声消除,中高频效果不错,但是低频部分比较差。您那边有更接近工程实际的解决方法吗?
此外我用auxIVA做通话降噪用,如何区分人声和干扰呢?后面我用了overIVA去做,但是混响环境下的效果远不如消声室的录音,不知道您那边有没有办法使它在混响环境下提升效果?
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