首页> 美国政府科技报告 >Audio Signal Separation Using Blind Source Separation Techniques
【24h】

Audio Signal Separation Using Blind Source Separation Techniques

机译:采用盲源分离技术的音频信号分离

获取原文

摘要

Techniques developed so far are based on: 1. Constant modulus algorithm (CMA), Independent component analysis (ICA), polyspectra and time- frequency. Examples of ICA (Frequency domain - JADE ICA): JADE-ICA on Each Frequency Bin With Port Deswapping and Normalization, Spectrograms of Speech Signal Mixtures, ICA-Separated Frequency Components, Inverse Spectrogram Transform, Separated Speech Signals, 16-tap random channel and cross-channel filters and mixing matrix.

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