Language Modeling for Speech Recognition of Czech
Pavel Krbec · Digital Repository (National Repository of Grey Literature) · 2006
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)