机译:功能增强网络,用于从语音信号提高抑郁严重性估计
Northwestern Polytech Univ Sch Comp Sci NPU VUB Joint Audio Visual Signal Proc AVSP Res L Shaanxi Key Lab Speech & Image Informat Proc Natl Xian 710072 Peoples R China|Peng Cheng Lab Shenzhen 518055 Peoples R China;
Northwestern Polytech Univ Sch Comp Sci NPU VUB Joint Audio Visual Signal Proc AVSP Res L Shaanxi Key Lab Speech & Image Informat Proc Natl Xian 710072 Peoples R China|Peng Cheng Lab Shenzhen 518055 Peoples R China;
VUB VUB NPU Joint Audio Visual Signal Proc AVSP Res L Dept Elect & Informat ETRO B-1050 Brussels Belgium|Interuniv Microelect Ctr IMEC B-3001 Heverlee Belgium;
Depression estimation; audio features; data augmentation; deep convolutional generative adversarial network; spatial domain; frequency domain; deep learning aspect;
机译:使用定子电流信号继承了用于电机故障严重性估计的分层卷积神经网络(FI-HCNN)
机译:使用语音识别技术调查与时序相关的语音特征与抑郁症的关联
机译:结合了深度神经网络和深度自动编码器的混响语音识别,并增强了电话类功能
机译:估算声学特征的抑郁严重程度和自然语音嵌入
机译:从声音语音信号的频谱包络估计声门源特征。
机译:使用语音识别技术来调查与时序相关的语音特征与抑郁症的关联
机译:基于粒子群优化的特征增强和特征选择,用于改善语音和声门信号中的情感识别。