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National Repository of Grey Literature 13 records found  previous11 - 13  jump to record: Search took 0.00 seconds. 
Speech Recognition of Czech Using Finite-State Machines
 Podveský, Petr ; Hajič, Jan (advisor) ; Psutka, Josef (referee) ; Krbec, Pavel (referee)
Speech recognition has become a thriving field with many real-life applications. Voice dialing in cell phones, voice control in embedded devices, speech-driven interactive manuals and many other utilities rely on solid speech recognition software. We believe that research in speech recognition can boost performance of many applications related to the area. The thesis concentrates on automatic large-vocabulary continuous-speech recognition of Czech. Czech differs from English in a few aspects. We focus on these differences and propose new language-depended techniques. Namely rich morphology is investigated and its impact on speech recognition is studied. Out-of-vocabulary (OOV) words are identified as one of the major sources deteriorating recognition performace. New language modeling techniques are proposed to alleviate the problem of OOV words. The proposed language models are tested in speech recognition systems on diverse speech corpora. The obtained results validate the original approach to language modeling. Significant overall speech recognition improvement is observed.
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Language Modeling for Speech Recognition of Czech
 Krbec, Pavel
In this thesis, I have designed and implernented a new language model for speerh recognition. The innovative part of the language model is the integration of the HMM-tagger component designed by myself. The HMM tagger can be used as a stand-a.lone disambiguation tool and, when combined with the hand written rules, it is currently the best disarnbiguation tool for Czech language in terrns of error rate. I have perforrned a speech recognition experiment on a highly inflectional language (Czech) where I tested the proposed language model. I have shown that the accuracy of the novel language model outperforms other state--of---the--·-art Czech language models. Powered by TCPDF (www.tcpdf.org)
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Dva typy značkování v češtině
 Spoustová, D. ; Hajič, J. ; Votrubec, J. ; Krbec, P. ; Květoň, Pavel
Description of several hybrid disambiguation methods combining the strength of hand-written disambiguation rules and statistical taggers. Three different statistical (HMM, Maximum-Entropy and Averaged Perceptron)taggers are used in a tagging experiment using Prague Dependency Treebank. The results of the hybrid systems are better than any other method tried for Czech tagging so far.
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National Repository of Grey Literature : 13 records found   previous11 - 13  jump to record:
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2 Krbec, Pavel
1 Krbec, Petr
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