Automatic Phonetic Segmentation and Pronunciation Detection with Various Approaches of Acoustic Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00323958" target="_blank" >RIV/68407700:21230/18:00323958 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-99579-3_44" target="_blank" >http://dx.doi.org/10.1007/978-3-319-99579-3_44</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-99579-3_44" target="_blank" >10.1007/978-3-319-99579-3_44</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Phonetic Segmentation and Pronunciation Detection with Various Approaches of Acoustic Modeling
Original language description
The paper describes HMM-based phonetic segmentation realized by KALDI toolkit with the focus on study of accuracy of various acoustic modeling such as GMM-HMM vs. DNN-HMM, monophone vs. triphone, speaker independent vs. speaker dependent. The analysis was performed with TIMIT database and it proved the contribution of advanced acoustic modeling, especially for the choice of a proper pronunciation variant. For this purpose, the lexicon covering the pronunciation variability among TIMIT speakers was created on the basis of phonetic transcriptions available in TIMIT corpus. When the proper sequence of phones is recognized by DNN-HMM system, more precise boundary placement can be then obtained using basic monophone acoustic models.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer
ISBN
978-3-319-99578-6
ISSN
0302-9743
e-ISSN
—
Number of pages
11
Pages from-to
419-429
Publisher name
Springer
Place of publication
Basel
Event location
Leipzig
Event date
Sep 18, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—