首页> 外文会议>Natural Language Processing and Knowledge Engineering, 2007 International Conference on >Combining Machine Learning and Computational Auditory Scene Analysis to Separate Monaural Speech of Two-Talker
【24h】

Combining Machine Learning and Computational Auditory Scene Analysis to Separate Monaural Speech of Two-Talker

机译:将机器学习与计算听觉场景分析相结合以分开两个说话者的单声道语音

获取原文

摘要

Monaural speech separation is one of the most difficult problems in speech signal processing. In this paper, a new method based on machine learning and computational auditory scene analysis (CASA) is suggested to separate the monaural speech of two-talker
机译:单声道语音分离是语音信号处理中最困难的问题之一。本文提出了一种基于机器学习和计算听觉场景分析(CASA)的新方法,用于分离两个通话者的单声道语音

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