Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Loudness Control by Intelligent Audio Content Analysis
Blekinge Institute of Technology, School of Engineering.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Automatic audio segmentation aims at extracting information of audio signals. In the case of music tracks, detecting segment boundaries, labelling segments, and detecting repeated segments could be performed. These information can be used in different applications such as creating song summaries and facilitating browsing in music collections. This thesis studies the Foote method which is one of the automatic audio segmentation algorithms. Numerous experiments are carried out to improve the performance of this method. The most suitable parameter settings of the Foote method, which have the best performance in detection of segment boundaries as correct as possible in real time audio segmentation, have been selected. Finally, real time audio segmentation results were applied to automatically control loudness level of a streaming audio input signal. Our experiments show that this application results in better dynamic structure preserving and faster loudness level adjustment.

Place, publisher, year, edition, pages
2013. , 68 p.
Keyword [en]
Loudness, Audio segmentation, Real-time Processing, Foote Method, Feature extraction
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-3250Local ID: oai:bth.se:arkivex6F26122C69CF09EDC1257B1E0039E7AEOAI: oai:DiVA.org:bth-3250DiVA: diva2:830551
Uppsok
Technology
Supervisors
Note
I can be contacted by my email address: hosseinsabri@gmail.comAvailable from: 2015-04-22 Created: 2013-02-26 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(1626 kB)157 downloads
File information
File name FULLTEXT01.pdfFile size 1626 kBChecksum SHA-512
06e4d6e7028a05602df5013be53de515eac482b68967b6ea6c35452fb0478686fa52d3f0550fe2456eddef0f33b17e53abcb1ce8a5d6ac7157d492bbdca2b18a
Type fulltextMimetype application/pdf

By organisation
School of Engineering
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 157 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 44 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf