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Automatic Transcript Generator for Podcast Files
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
2010 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In the modern world, Internet has become a popular place, people with speech hearing disabilities and search engines can't take part of speech content in podcast les. In order to solve the problem partially, the Sphinx decoders such as Sphinx-3, Sphinx-4 can be used to implement a Auto Transcript Generator application, by coupling already existing large acoustic model, language model and a existing dictionary, or by training your own large acoustic model, language model and creating your own dictionary to support continuous speaker independent speech recognition system.

Place, publisher, year, edition, pages
2010. , p. 43
Keywords [en]
speech recognition, auto transcript generator, implementation, podcast, acoustic model, language model, dictionary
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-6936OAI: oai:DiVA.org:lnu-6936DiVA, id: diva2:332123
Presentation
2010-06-02, NY227, Kalmar nyckel, 15:00
Uppsok
Technology
Supervisors
Examiners
Available from: 2010-08-24 Created: 2010-08-02 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

fulltext(848 kB)3122 downloads
File information
File name FULLTEXT01.pdfFile size 848 kBChecksum SHA-512
98a741410ade33de2ab8131d5d714437e5f47942d81a62c15f754b803953ab263dd06173b90c07dfa3d6a8ecbcb4bda587afb3122ad15e1bbc7cc5594a2aa69c
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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