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
Automatic Subtitle Generation for Sound in Videos
University West, Department of Economics and IT.
2009 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The last ten years have been the witnesses of the emergence of any kind of video content. Moreover, the appearance of dedicated websites for this phenomenon has increased the importance the public gives to it. In the same time, certain individuals are deaf and occasionally cannot understand the meanings of such videos because there is not any text transcription available. Therefore, it is necessary to find solutions for the purpose of making these media artefacts accessible for most people. Several software propose utilities to create subtitles for videos but all require an extensive participation of the user. Thence, a more automated concept is envisaged. This thesis report indicates a way to generate subtitles following standards by using speech recognition. Three parts are distinguished. The first one consists in separating audio from video and converting the audio in suitable format if necessary. The second phase proceeds to the recognition of speech contained in the audio. The ultimate stage generates a subtitle file from the recognition results of the previous step. Directions of implementation have been proposed for the three distinct modules. The experiment results have not done enough satisfaction and adjustments have to be realized for further work. Decoding parallelization, use of well trained models, and punctuation insertion are some of the improvements to be done.

Place, publisher, year, edition, pages
2009. , 30 p.
Keyword [en]
Audio extraction, Java media framework, speech recognition, acoustic model, language model, subtitle generation, Sphinx-4
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:hv:diva-1784OAI: oai:DiVA.org:hv-1784DiVA: diva2:241802
Presentation
(English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2009-10-05 Created: 2009-10-05 Last updated: 2009-10-05Bibliographically approved

Open Access in DiVA

fulltext(795 kB)31406 downloads
File information
File name FULLTEXT01.pdfFile size 795 kBChecksum SHA-512
683eca5b3095654fcb71d5eaebcbfbcb6f957eaa1bc3775c95822225232ee51976035a2a5f44c48ed94b6327736091a678dca26c84788b6679af92fc5f0aa7e0
Type fulltextMimetype application/pdf

By organisation
Department of Economics and IT
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 31406 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: 943 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