Dissertation

 
Matějka, P.: Phonotactic and acoustic language recognition, Brno, CZ, VUT v Brně, 2009, p. 107
Publication language:english
Original title:Phonotactic and acoustic language recognition
Title (cs):FONOTAKTICKÉ A AKUSTICKÉ ROZPOZNÁVÁNÍ JAZYKŮ
Pages:107
Place:Brno, CZ
Year:2009
Publisher:Brno University of Technology
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2009/matejka_thesis.pdf [PDF]
Keywords
language recognition
Annotation
The work is on language recognition
Abstract
This thesis deals with phonotactic and acoustic techniques for automatic language recognition (LRE). The first part of the thesis deals with the phonotactic language recognition based on co-occurrences of phone sequences in speech. A thorough study of phone recognition as tokenization technique for LRE is done, with focus on the amounts of training data for phone recognizer and on the combination of phone recognizers trained on several language (Parallel Phone Recognition followed by Language Model - PPRLM). The thesis also deals with novel technique of anti-models in PPRLM and investigates into using phone lattices instead of strings. The work on phonotactic approach is concluded by a comparison of classical n-gram modeling techniques and binary decision trees. The acoustic LRE was addressed too, with the main focus on discriminative techniques for training target language acoustic models and on initial (but successful) experiments with removing channel dependencies. We have also investigated into the fusion of phonotactic and acoustic approaches. All experiments were performed on standard data from NIST 2003, 2005 and 2007 evaluations so that the results are directly comparable to other laboratories in the LRE community. With the above mentioned techniques, the fused systems defined the state-of-the-art in the LRE field and reached excellent results in NIST evaluations.
BibTeX:
@PHDTHESIS{
   author = {Pavel Matějka},
   title = {Phonotactic and acoustic language recognition},
   pages = {107},
   year = {2009},
   location = {Brno, CZ},
   publisher = {Brno University of Technology},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=8916}
}