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Evaluation of NETtalk as a means to extract phonetic features from text for synchronization with speech.
University of Skövde, Department of Computer Science.
1998 (English)Independent thesis Basic level (degree of Bachelor)Student thesis
Abstract [en]

The background for this project is a wish to automate synchronization of text and speech. The idea is to present speech through speakers synchronized word-for-word with text appearing on a monitor.

The solution decided upon is to use artificial neural networks, ANNs, to convert both text and speech into streams made up of sets of phonetic features and then matching these two streams against each other. Several text-to-feature ANN designs based on the NETtalk system are implemented and evaluated. The extraction of phonetic features from speech and the synchronization itself are not implemented, but some assessments are made regarding their possible performances. The performance of a finished system is not possible to determine, but a NETtalk-based ANN is believed to be suitable for such a system using phonetic features for synchronization.

Place, publisher, year, edition, pages
Skövde: Institutionen för datavetenskap , 1998. , 38 p.
National Category
Information Science
Identifiers
URN: urn:nbn:se:his:diva-173OAI: oai:DiVA.org:his-173DiVA: diva2:2523
Presentation
(English)
Uppsok
Social and Behavioural Science, Law
Supervisors
Available from: 2007-10-12 Created: 2007-10-12 Last updated: 2009-11-16

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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