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The kurtosis of spectral envelope peak as auditory cuing of sound identification

机译:频谱包络峰的峰度作为声音识别的听觉提示

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摘要

Spectral envelope has been identified as an important aspect of timbre characteristic of sound sources. Sound from different sources, such as voice or traffic noise, usually has different timber characteristics, which makes a kind of sound be distinguished from the others in a competitive sound environment by the auditory system. How to transform such an abstract feature into exercisable variables is still unknown. In this research, a concept of “kurtosis of spectral envelope peak (KSEP)” was proposed as a characteristic parameter to identify the specific sound from different sources. By analyzing the signals from different kind of sound sources, we found that KSEP can distinguish sound sources well, even when the sound signals are in the same frequency band. Based on the evidence, KSEP was further used as criteria to distinguish speech from noise to reduce noise form noisy speech, and the SNR of the noisy speech was effectively improved.
机译:频谱包络已被确定为声源音质特征的重要方面。来自不同来源的声音(例如语音或交通噪音)通常具有不同的木材特性,这使得听觉系统在竞争性声音环境中将一种声音与其他声音区分开。如何将这样的抽象特征转换为可执行变量仍然未知。在这项研究中,提出了“频谱包络峰峰度(KSEP)”的概念作为特征参数,以识别来自不同来源的特定声音。通过分析来自不同种类声源的信号,我们发现KSEP可以很好地区分声源,即使声音信号在相同频带中也是如此。基于证据,进一步将KSEP用作区分语音与噪声的标准,以减少噪声形式的噪声,有效地提高了噪声的信噪比。

著录项

  • 来源
  • 会议地点 Beijing(CN);Beijing(CN)
  • 作者单位

    Department of Physics,Huazhong University of Science and Technology,Wuhan 430074,P.R.China;

    Department of Physics,Huazhong University of Science and Technology,Wuhan 430074,P.R.China;

    Department of Physics,Huazhong University of Science and Technology,Wuhan 430074,P.R.China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 声学;声学;
  • 关键词

  • 入库时间 2022-08-26 14:23:07

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