Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

Search by:

Year of publication
Author name
Paper title

Lexical Stress-based Morphological Decomposition for Ukrainian Speech Recognition Tasks

Sazhok M.1, Robeiko V.2
1 International Research and Training Centre for Information Technologies and Systems
2 Speech Science and Technology Department, International Research and Training Center of Information Technologies and Systems «CyberMova»

Full text (PDF)

UDC: 004.934
Publication Language: Ukrainian
Stuc. intelekt. 2013; 18(3):233-241

Abstract: This paper presents an approach to the morphological level word segmentation based on lexical stress modeling, which is prospective for Ukrainian speech recognition systems. The formulated segmentation criterion is based on a training set of words with manually pointed stresses and a large text corpus. The described search algorithm finds one or more segmentations with the best likelihood. The developed toolkit is presented, experimental research is described and results are discussed.

Keywords: lexical stress, morphological decomposition, Ukrainian speech recognition

References:

  1. Black A. Issues in Building General Letter to Sound Rules . 3rd ESCA Workshop / Black A., Lenzo K., Pagel V.
  2. Creutz Mathias. Induction of a simple morphology for highly-inflecting languages / Creutz Mathias, Lagus Krista // In: Proc. 7th Meeting of the ACL SIGPHON. – 2004.
  3. Automatic lexical stress assignment of unknown words for highly inflected Slovenian language / [Gams Matjaž et al.] // In: Text, Speech and Dialogue. Springer Berlin Heidelberg, 2006.
  4. http://lcorp.ulif.org.ua/dictua/
  5. Bisani M. Joint-Sequence Models for Grapheme-to-Phoneme Conversion / M. Bisani, H. Ney // Speech Communication.
  6. Robeiko V. Bidirectional Text-To-Pronunciation Conversion with Word Stress Prediction for Ukrainian // V. Robeiko, M. Sazhok // In Proc. UkrObraz’2012.
  7. www.cybermova.com/speech/visual-hmm.htm
  8. Ukrainian Broadcast Speech Corpus Development / [Valeriy Pylypenko, Valentyna Robeiko, Mykola Sazhok, et al.] // In Proc. Specom’2011.

View full text (PDF)