HGCN: 用于语音增强的谐波门控补偿网络 HGCN: HARMONIC GATED COMPENSATION NETWORK FOR SPEECH ENHANCEMENT ABSTRACT——通过神经网络在时频(T-F)域进行掩码处理一直是单声道语音增强的主流之一。然而,对于大多数模型来说,很难处理谐波被噪声部分掩盖的情况。为了应对这一挑战,我们提出了一个谐波门控补偿网络(HGCN)。
5.在对人类手势的研究中,mcneill等人在文献《hand and mind:what gestures reveal about thought》中根据符号学提出了四种主要的手势类型,分别为标志性、隐喻性、指示性和节拍式手势,之后toshinori等人在文献《a speech-driven hand gesture generation method and evaluation in android robots》中进行了手势分类的总结,...
In the field of deep learning, for problems and tasks that are sensitive to time series, such as natural language processing or speech recognition, the recurrent neural network is usually more suitable. Long short-term memory (LSTM) is a representative network structure in recurrent neural network...