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Within-utterance correlation for speech recognition
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.
1999 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Relations between non-adjacent parts of an utterance are commonly regarded as an important source of information for speech recognition. However, they have not been very much used in speech recognition systems. In this paper, we include this information by joint distributions of pairs of phones occurring in the same utterance. In addition to relations between acoustic events, we also have incorporated relations between spectral and prosodically oriented information, such as phone duration, position in utterance and funda-mental frequency. Preliminary recognition results on N-best rescoring show 10% word error reduction compared to a baseline Viterbi decoder.

Place, publisher, year, edition, pages
1999. 2479-2482 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-91224OAI: oai:DiVA.org:kth-91224DiVA: diva2:508910
Conference
Sixth European Conference on Speech Communication and Technology
Note
NR 20140805Available from: 2012-03-10 Created: 2012-03-10Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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Output format
  • html
  • text
  • asciidoc
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