首页> 外文期刊>Applied Acoustics >Classification of audio events using permutation transformation
【24h】

Classification of audio events using permutation transformation

机译:使用置换变换对音频事件进行分类

获取原文
获取原文并翻译 | 示例
           

摘要

Automatic detection and classification of short and nonstationary events in noisy signals is widely considered to be a difficult task for traditional frequency domain and even time-frequency domain approaches. A novel method for audio signal classification is introduced. It is based on statistical properties of the temporal fine structure of audio events. Artificially generated random signals and unvoiced stop consonants of speech are used to evaluate the method. The results show improved recognition accuracy in comparison to traditional approaches.
机译:对于传统的频域甚至时频域方法,噪声信号中短时间和非平稳事件的自动检测和分类被认为是一项艰巨的任务。介绍了一种音频信号分类的新方法。它基于音频事件的时间精细结构的统计属性。人工生成的随机信号和语音的清音辅音被用于评估该方法。结果表明与传统方法相比,识别精度有所提高。

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