Communications, Sensors, Signal and Information Processing (ComSIP) Group, School of Electrical and Electronics Engineering, Newcastle University, NE1 7RU, UK;
Communications, Sensors, Signal and Information Processing (ComSIP) Group, School of Electrical and Electronics Engineering, Newcastle University, NE1 7RU, UK;
Communications, Sensors, Signal and Information Processing (ComSIP) Group, School of Electrical and Electronics Engineering, Newcastle University, NE1 7RU, UK;
Communications, Sensors, Signal and Information Processing (ComSIP) Group, School of Electrical and Electronics Engineering, Newcastle University, NE1 7RU, UK;
Training; Mel frequency cepstral coefficient; Testing; Databases; Speech; Feature extraction; Hidden Markov models;
机译:扬声器识别极限基于极端学习机和基于BackProjagation的I形载方法的比较
机译:COMBER 2008,NIST 2008,TIMIT数据库的强大扬声器识别与评估的I-Vector和Extreme Learning Machine方法
机译:基于极限学习机的新型低声说话者识别系统
机译:基于具有融合技术的极端学习机的多维I矢量封闭式扬声器识别
机译:在封闭场景和开放场景中对恶意软件进行分类的机器学习
机译:CirRNAPL:一种基于极限学习机的circRNA识别Web服务器
机译:可扩展的社区识别与扬声器i-veactor space上的多元形学习