School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia;
School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia;
School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia;
Speech; Feature extraction; Reverberation; Mel frequency cepstral coefficient; Discrete wavelet transforms; Forensics; Noise measurement;
机译:通过在嘈杂的条件下结合MFCC和entocy改进短语扬声器验证
机译:使用通过最小验证错误学习提取的加权本地MFCC功能进行说话人验证
机译:低方差多锥MFCC功能:以可靠的说话人验证为例
机译:Hybrid DWT和MFCC功能在室内混响中进行嘈杂的法医扬声器验证
机译:基于声音特征的频率扭曲,用于扬声器归一化。
机译:使用普通最小二乘法证进行说话人验证
机译:DWT和MFCC在声音和混响条件下结合使用时,结合使用了DWT和MFCC功能变形功能,增强了鉴证演说者的验证能力