Audio Bandwidth Extension Method Based on Grey Verhulst Model

BAI Hai-chuan; BAO Chang-chun; LIU Xin; LI Hong-rui

doi:10.3969/j.issn.0372-2112.2014.08.026

您当前的位置：

首页 >

文章列表页 >

Audio Bandwidth Extension Method Based on Grey Verhulst Model

更新时间：2025-07-16

- Audio Bandwidth Extension Method Based on Grey Verhulst Model
- Acta Electronica Sinica Vol. 42, Issue 8, Pages: 1624-1629(2014)
- 作者机构：
  
  北京工业大学电子信息与控制工程学院,北京,100124
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61072089)
- DOI：10.3969/j.issn.0372-2112.2014.08.026
  CLC： TN912.3
- Published：2014
- 稿件说明：
移动端阅览
BAI Hai-chuan, BAO Chang-chun, LIU Xin, et al. Audio Bandwidth Extension Method Based on Grey Verhulst Model[J]. Acta Electronica Sinica, 2014, 42(8): 1624-1629.
DOI：

BAI Hai-chuan, BAO Chang-chun, LIU Xin, et al. Audio Bandwidth Extension Method Based on Grey Verhulst Model[J]. Acta Electronica Sinica, 2014, 42(8): 1624-1629. DOI： 10.3969/j.issn.0372-2112.2014.08.026.

摘要

受到传输带宽的限制，宽带音频的自然度和听觉质量会有所下降，因此，本文提出了一种基于灰色Verhulst模型的宽带向超宽带音频频带扩展方法.根据音频信号频谱包络序列的演变趋势，采用灰色Verhulst模型对高频频谱包络进行估计，并利用最近邻匹配方法对高频频谱细节进行预测，最后经过高频频谱包络的调整，所提方法能够有效地恢复7～14kHz频率范围内的高频成分.主客观测试表明，该方法改善了宽带音频的听觉质量，并且优于传统的基于高斯混合模型的音频频带扩展方法.

Abstract

The naturalness and auditory quality of the wideband audio is generally degraded due to the limitation of transmission bandwidth

so this paper presents a kind of audio bandwidth extension method from the wideband to super wideband based on grey Verhulst model.Grey Verhulst model was utilized for estimating the envelope of high-frequency spectrum

according to the evolution tendency of the spectral envelope series of audio signals.In addition

nearest-neighbor matching was utilized to predict the fine structure of high-frequency components.At last

the proposed method can effectively recover the high-frequency components in the frequency range 7-14 kHz through the envelope adjustment of high-frequency spectrum.Subjective and objective testing results indicate that the proposed method can improve the auditory quality of the wideband audio and outperforms the conventional method of audio bandwidth extension based on Gaussian mixture model.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Audio Bandwidth Extension Method Based on Local Least Square Support Vector Machine

Audio Bandwidth Extension Method Using Similarity Correlation Degree-Based Neural Network

Related Author

ZHANG Li-yan

ZHANG Xing-tao

贾懋

鲍长春

MA Hong-fei

FAN Chang-xin

SONG Guo-xiang

LI Xiao-ming

Related Institution

Speech and Audio Signal Processing Loboratory,Beijing University of Technology

Information Science Inst.,Xidian Univ.

Dept.of Mathematics,Xidian Univ.

Information Science Inst.Xidian Univ.Xi'an 710071China

Dept.of MathematicsXidian Univ.Xi'an 710071China

⁰