liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Real Time Speech Driven Face Animation
Linköping University, Department of Electrical Engineering.
Linköping University, Department of Electrical Engineering.
2003 (English)Independent thesis Basic level (professional degree)Student thesisAlternative title
Talstyrd Ansiktsanimering i Realtid (Swedish)
Abstract [en]

The goal of this project is to implement a system to analyse an audio signal containing speech, and produce a classifcation of lip shape categories (visemes) in order to synchronize the lips of a computer generated face with the speech.

The thesis describes the work to derive a method that maps speech to lip move- ments, on an animated face model, in real time. The method is implemented in C++ on the PC/Windows platform. The program reads speech from pre-recorded audio files and continuously performs spectral analysis of the speech. Neural networks are used to classify the speech into a sequence of phonemes, and the corresponding visemes are shown on the screen.

Some time delay between input speech and the visualization could not be avoided, but the overall visual impression is that sound and animation are synchronized.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2003. , 50 p.
Series
LiTH-ISY-Ex, 3389
Keyword [en]
Technology, phonemes, visemes, real-time, neural networks
Keyword [sv]
TEKNIKVETENSKAP
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-2015OAI: oai:DiVA.org:liu-2015DiVA: diva2:19343
Uppsok
teknik
Available from: 2003-10-24 Created: 2003-10-24

Open Access in DiVA

fulltext(1388 kB)3926 downloads
File information
File name FULLTEXT01.pdfFile size 1388 kBChecksum SHA-1
b5a4d848e723c4c70edfa8b11af2c32f834e873e0ceffe0ec08bb28891985350cdcde30e
Type fulltextMimetype application/pdf

By organisation
Department of Electrical Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 3926 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

urn-nbn

Altmetric score

urn-nbn
Total: 1181 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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