SVM的几个核函数对说话人身份识别的技术研究 根据具体的数据得到特征 然后采取svm分类,svm包含高斯核函数 线性核函数 RB

上传者: m0_68894275 | 上传时间: 2022-06-01 18:10:22 | 文件大小: 2.52MB | 文件类型: RAR
SVM的几个核函数对说话人身份识别的技术研究 根据具体的数据得到特征 然后采取svm分类,svm包含高斯核函数 线性核函数 RBF核函数 多项式核函数等 采取了不同的核函数对说话人的身份进行识别

文件下载

资源详情

[{"title":"( 27 个子文件 2.52MB ) SVM的几个核函数对说话人身份识别的技术研究\n根据具体的数据得到特征 然后采取svm分类,svm包含高斯核函数 线性核函数 RB","children":[{"title":"testaudio","children":[{"title":"i","children":[{"title":"P01_01_i.wav <span style='color:#111;'> 518.64KB </span>","children":null,"spread":false},{"title":"P02_01_i.wav <span style='color:#111;'> 99.79KB </span>","children":null,"spread":false}],"spread":true},{"title":"e","children":[{"title":"P02_01_e.wav <span style='color:#111;'> 62.30KB </span>","children":null,"spread":false},{"title":"P01_01_e.wav <span style='color:#111;'> 462.90KB </span>","children":null,"spread":false}],"spread":true},{"title":"o","children":[{"title":"P02_01_o.wav <span style='color:#111;'> 72.26KB </span>","children":null,"spread":false},{"title":"P01_01_o.wav <span style='color:#111;'> 367.77KB </span>","children":null,"spread":false}],"spread":true},{"title":"udots","children":[{"title":"P02_01_udots.wav <span style='color:#111;'> 95.76KB </span>","children":null,"spread":false},{"title":"P01_01_udots.wav <span style='color:#111;'> 580.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"a","children":[{"title":"P01_01_a.wav <span style='color:#111;'> 351.34KB </span>","children":null,"spread":false},{"title":"P02_01_a.wav <span style='color:#111;'> 69.27KB </span>","children":null,"spread":false}],"spread":true},{"title":"u","children":[{"title":"P02_01_u.wav <span style='color:#111;'> 102.10KB </span>","children":null,"spread":false},{"title":"P01_01_u.wav <span style='color:#111;'> 364.42KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"ext_fmt.m <span style='color:#111;'> 567B </span>","children":null,"spread":false},{"title":"untitled.fig <span style='color:#111;'> 38.41KB </span>","children":null,"spread":false},{"title":"untitled.m <span style='color:#111;'> 15.13KB </span>","children":null,"spread":false},{"title":"F_pitch.m <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"DCNN.m <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":"MLearning.m <span style='color:#111;'> 4.33KB </span>","children":null,"spread":false},{"title":"enframe.m <span style='color:#111;'> 495B </span>","children":null,"spread":false},{"title":"linsmoothm.m <span style='color:#111;'> 602B </span>","children":null,"spread":false},{"title":"pitfilterm1.m <span style='color:#111;'> 440B </span>","children":null,"spread":false},{"title":"Ext_frmnt.m <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"说话人身份识别.docx <span style='color:#111;'> 132.64KB </span>","children":null,"spread":false},{"title":"lcr.m <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"pitch_vad1.m <span style='color:#111;'> 1.35KB </span>","children":null,"spread":false},{"title":"1.mat <span style='color:#111;'> 7.02KB </span>","children":null,"spread":false},{"title":"findSegment.m <span style='color:#111;'> 952B </span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明