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...
Saved in:
Main Authors: | , , , |
---|---|
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 |