首页> 外文期刊>International journal of computer science and network security >Design of an Automatic Speaker Recognition System Based on Adapted MFCC and GMM Methods for Arabic Speech
【24h】

Design of an Automatic Speaker Recognition System Based on Adapted MFCC and GMM Methods for Arabic Speech

机译:基于自适应MFCC和GMM方法的阿拉伯语音自动说话人识别系统设计

获取原文
           

摘要

This paper presents a design of an automatic speaker-independent speech recognition system based on adapted Mel Frequency Cepstrum Coefficients (MFCC) associated to Gaussian Mixture Model (GMM) Methods. This experimental study which has performed for vari
机译:本文提出了一种基于与高斯混合模型(GMM)方法相关的自适应梅尔频率倒谱系数(MFCC)的自动独立于语音的语音识别系统的设计。这项实验性研究

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号