首页> 外文会议>European Signal Processing Conference >Accurate speech decomposition into periodic and aperiodic components based on Discrete Harmonic Transform
【24h】

Accurate speech decomposition into periodic and aperiodic components based on Discrete Harmonic Transform

机译:基于离散谐波变换将语音准确分解为周期性和非周期性成分

获取原文

摘要

This paper presents a new method for the speech signal decomposition into periodic and aperiodic components. Proposed method is based on the Discrete Harmonic Transform (DHT). This transformation is able to analyze the signal spectrum in the harmonic domain. Another feature of the DHT is its ability to synchronize the transformation kernel with the time-varying pitch frequency. The system works without a priori knowledge about the pitch track. Unlike the most applications proposed method estimates the fundamental frequency changes within a frame before estimating fundamental the frequency itself. Periodic component is modelled as a sum of harmonically related sinusoids and for accurate estimation of the amplitudes and initial phases DHT is used. Aperiodic component is defined as a difference between the original speech and the estimated periodic component.
机译:本文提出了一种将语音信号分解为周期性和非周期性成分的新方法。提出的方法基于离散谐波变换(DHT)。这种变换能够分析谐波域中的信号频谱。 DHT的另一个特点是它具有将变换内核与时变音调频率同步的能力。该系统在没有有关音高轨迹的先验知识的情况下工作。与大多数应用不同,所提出的方法在估计基本频率本身之前先估计一帧内的基本频率变化。周期分量被建模为谐波相关正弦波的总和,并且为了准确估计振幅和初始相位,使用了DHT。非周期性成分被定义为原始语音和估计的周期性成分之间的差异。

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