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Nonlinear sub-band processing for binaural adaptive speech-enhancement

机译:双链条自适应语音增强的非线性子带处理

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Nonlinear processing using a general class of feedforward, single hidden-layered artificial neural networks is proposed for processing bandlimited noisy signals in a binaural adaptive speech-enhancement scheme. The sub-band spacing within the adaptive speech-enhancement system can be set as in human hearing, according to a published cochlear function. Preliminary comparative results achieved in simulation experiments demonstrate that the proposed binaural sub-band scheme is capable of significantly outperforming conventional linear-processing based wide-band and sub-band noise-cancellation methods, in the presence of nonlinear interference.
机译:建议使用一般类馈电,单个隐藏层的人工神经网络的非线性处理,用于处理双耳自适应语音增强方案中的带状噪声信号。根据发布的触摸函数,可以将自适应语音增强系统内的子带间隔设置为人类听力。仿真实验中实现的初步比较结果表明,在存在非线性干扰的情况下,所提出的双耳亚频段方案能够显着优于基于常规的线性加工的宽带和子带噪声消除方法。

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