Accuracy of HMM-Based Phonetic Segmentation Using Monophone or Triphone Acoustic Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207243" target="_blank" >RIV/68407700:21230/13:00207243 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Accuracy of HMM-Based Phonetic Segmentation Using Monophone or Triphone Acoustic Model
Original language description
The paper compares the accuracy of HMM-based automatic phonetic segmentation using various signal representation same as acoustic models of various complexity, i.e. acoustic models of monophones or word-internal triphones with various number of mixtures.The precision of automatic phonetic segmentation was measured on the basis of comparison with manually segmented speech data. The analysis showed that the segmentation with acoustic models of word-internal triphones yielded to a better target accuracy.The best results of automatic phonetic segmentation were attained for acoustic models of word-internal triphones with four mixures. In this case average values of shift of phone boundaries and change of phone length was about 5.9~ms and 0.2~ms .
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Applied Electronics - 2013 International Conference on Applied Electronics
ISBN
978-80-261-0166-6
ISSN
1803-7232
e-ISSN
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Number of pages
4
Pages from-to
181-184
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
Pilsen
Event date
Sep 10, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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