Bandwidth extension method based on nonlinear audio characteristics classification

A bandwidth extension method based on audio classification was proposed.Time series of audio signals were classified into four types based on recurrence plot and recurrence quantification analysis,and the fine spectrums were recovered by taking advantage of four methods respectively.In addition,the...

Full description

Saved in:
Bibliographic Details
Main Authors: Li-yan ZHANG, Chang-chun BAO, Xin LIU, Xing-tao ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.08.016/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539789509099520
author Li-yan ZHANG
Chang-chun BAO
Xin LIU
Xing-tao ZHANG
author_facet Li-yan ZHANG
Chang-chun BAO
Xin LIU
Xing-tao ZHANG
author_sort Li-yan ZHANG
collection DOAJ
description A bandwidth extension method based on audio classification was proposed.Time series of audio signals were classified into four types based on recurrence plot and recurrence quantification analysis,and the fine spectrums were recovered by taking advantage of four methods respectively.In addition,the spectrum envelope and energy gain were adjusted by Gaussian mixture model and codebook mapping on the basis of soft decision respectively.Subjective and objective testing results indicate that the proposed method has good quality compared with conventional blind bandwidth extension methods,and the performance of ITU-T G.722.1 codec with the proposed algorithm is better than that of G.722.1C codec at the same bit rate.
format Article
id doaj-art-18c20d3808d6458fb2fb25f0fff838d0
institution Kabale University
issn 1000-436X
language zho
publishDate 2013-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-18c20d3808d6458fb2fb25f0fff838d02025-01-14T06:41:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-08-013412013059674290Bandwidth extension method based on nonlinear audio characteristics classificationLi-yan ZHANGChang-chun BAOXin LIUXing-tao ZHANGA bandwidth extension method based on audio classification was proposed.Time series of audio signals were classified into four types based on recurrence plot and recurrence quantification analysis,and the fine spectrums were recovered by taking advantage of four methods respectively.In addition,the spectrum envelope and energy gain were adjusted by Gaussian mixture model and codebook mapping on the basis of soft decision respectively.Subjective and objective testing results indicate that the proposed method has good quality compared with conventional blind bandwidth extension methods,and the performance of ITU-T G.722.1 codec with the proposed algorithm is better than that of G.722.1C codec at the same bit rate.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.08.016/audio codingbandwidth extensionaudio classificationrecurrence plotrecurrence quantification analysis
spellingShingle Li-yan ZHANG
Chang-chun BAO
Xin LIU
Xing-tao ZHANG
Bandwidth extension method based on nonlinear audio characteristics classification
Tongxin xuebao
audio coding
bandwidth extension
audio classification
recurrence plot
recurrence quantification analysis
title Bandwidth extension method based on nonlinear audio characteristics classification
title_full Bandwidth extension method based on nonlinear audio characteristics classification
title_fullStr Bandwidth extension method based on nonlinear audio characteristics classification
title_full_unstemmed Bandwidth extension method based on nonlinear audio characteristics classification
title_short Bandwidth extension method based on nonlinear audio characteristics classification
title_sort bandwidth extension method based on nonlinear audio characteristics classification
topic audio coding
bandwidth extension
audio classification
recurrence plot
recurrence quantification analysis
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.08.016/
work_keys_str_mv AT liyanzhang bandwidthextensionmethodbasedonnonlinearaudiocharacteristicsclassification
AT changchunbao bandwidthextensionmethodbasedonnonlinearaudiocharacteristicsclassification
AT xinliu bandwidthextensionmethodbasedonnonlinearaudiocharacteristicsclassification
AT xingtaozhang bandwidthextensionmethodbasedonnonlinearaudiocharacteristicsclassification