机译:在LPC残差域中使用基于HOS的参数进行分类的有效方法
Division of Otolaryngology—Head and Neck Surgery, University of Wisconsin Medical School, 5745a Medical Sciences Center, 1300 University Avenue, Madison, WI 53706, United States,Division of Multimedia Communications and Processing, School of Engineering, Korea Advanced Institute of Science and Technology, 335 Gwahangno, Yuseong-gu, Daejeon 305-701, South Korea;
Division of Electrical Engineering, School of Electrical and Electronic Engineering, Gyeongsang National University, 900 Gajwa-dongjinju 660-701, South Korea;
Division of Multimedia Communications and Processing, School of Engineering, Korea Advanced Institute of Science and Technology, 335 Gwahangno, Yuseong-gu, Daejeon 305-701, South Korea;
Division of Otolaryngology—Head and Neck Surgery, University of Wisconsin Medical School, 5745a Medical Sciences Center, 1300 University Avenue, Madison, WI 53706, United States;
Division of Otolaryngology—Head and Neck Surgery, University of Wisconsin Medical School, 5745a Medical Sciences Center, 1300 University Avenue, Madison, WI 53706, United States;
pathological voice quality; higher-order statistics; linear predictive coding; classification and regression tree;
机译:更正为“在LPC残留域中使用基于HOS的参数对呼吸声和粗糙声音进行分类的有效方法” [Biomed。信号处理。 Control 6(2)(2011)186-196]
机译:语音偏差图在评估粗糙和呼吸的合成声音☆,☆☆中的性能
机译:语音偏差图在评估粗糙和呼吸的合成声音时的性能,
机译:LPC和REGERANT缺失方法对声音声学参数的逆滤波数量的影响
机译:用于频域模态参数估计的统一矩阵多项式方法的广义残差模型。
机译:一种基于网络的方法来对生活的三个领域进行分类
机译:在LPC残留域中使用高阶统计信息自动评估病理语音质量
机译:从各种LpC参数有效计算光谱倾斜