首页 开发技术 其它     /    基于MFCC的GMM的语音识别

基于MFCC的GMM的语音识别

上传者: wgs1024 | 上传时间:2023/5/29 16:58:16 | 文件大小:1.43MB | 文件类型:zip
基于MFCC的GMM的语音识别
语音识别的Matlab代码,提取的特征为Mel频率倒谱系数,采用的方法为高斯混合模型 本软件ID:5127691

文件下载

资源详情

[{"title":"(23个子文件1.43MB)基于MFCC的GMM的语音识别","children":[{"title":"基于MFCC的GMM的说话人识别","children":[{"title":"wave2mfcc.m <span style='color:#111;'>4.81KB</span>","children":null,"spread":false},{"title":"enframe.m <span style='color:#111;'>457B</span>","children":null,"spread":false},{"title":"frame2sampleIndex.m <span style='color:#111;'>889B</span>","children":null,"spread":false},{"title":"说明文档.txt <span style='color:#111;'>204B</span>","children":null,"spread":false},{"title":"speakerGmm.mat <span style='color:#111;'>52.58KB</span>","children":null,"spread":false},{"title":"rdct.m <span style='color:#111;'>463B</span>","children":null,"spread":false},{"title":"mfccParamSet.m <span style='color:#111;'>870B</span>","children":null,"spread":false},{"title":"melbankm.m <span style='color:#111;'>718B</span>","children":null,"spread":false},{"title":"segmentFind.m <span style='color:#111;'>1.07KB</span>","children":null,"spread":false},{"title":"lsum.m <span style='color:#111;'>1.15KB</span>","children":null,"spread":false},{"title":"MFCC_feature_compare.m <span style='color:#111;'>691B</span>","children":null,"spread":false},{"title":"epdByVol.m <span style='color:#111;'>4.82KB</span>","children":null,"spread":false},{"title":"frame2volume.m <span style='color:#111;'>2.35KB</span>","children":null,"spread":false},{"title":"buffer2.m <span style='color:#111;'>530B</span>","children":null,"spread":false},{"title":"go.m <span style='color:#111;'>1.77KB</span>","children":null,"spread":false},{"title":"frameZeroMean.m <span style='color:#111;'>1.58KB</span>","children":null,"spread":false},{"title":"rfft.m <span style='color:#111;'>385B</span>","children":null,"spread":false},{"title":"epdParamSet.m <span style='color:#111;'>842B</span>","children":null,"spread":false},{"title":"getTriFilterParam.m <span style='color:#111;'>1.20KB</span>","children":null,"spread":false},{"title":"lmultigauss.m <span style='color:#111;'>927B</span>","children":null,"spread":false},{"title":"gmm_estimate.m <span style='color:#111;'>2.87KB</span>","children":null,"spread":false},{"title":"melcepst.m <span style='color:#111;'>615B</span>","children":null,"spread":false},{"title":"speakerData.mat <span style='color:#111;'>1.37MB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

  • weixin_38655467:
    很好的,是我想要的2018-11-28
  • qiu870709:
    非常好,受益匪浅,从中收获很多,感谢分享资源2018-11-21
  • kbsp6:
    试一下,不知道能否用来判断目标语音与噪声?2018-10-11
  • NonDay:
    挺好的,里面取了对数,适合我需要的2018-08-02
  • xingjuan2008:
    是我要找的东西,有用2017-02-09

免责申明

【好快吧下载】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,【好快吧下载】 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 【好快吧下载】 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,8686821#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