| dc.creator | Krbec, Pavel | |
| dc.date.accessioned | 2021-05-19T16:29:43Z | |
| dc.date.available | 2021-05-19T16:29:43Z | |
| dc.date.issued | 2006 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/3235 | |
| dc.description.abstract | 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) | en_US |
| dc.language | Čeština | cs_CZ |
| dc.language.iso | cs_CZ | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.title | Language Modeling for Speech Recognition of Czech | cs_CZ |
| dc.type | rigorózní práce | cs_CZ |
| dcterms.created | 2006 | |
| dcterms.dateAccepted | 2006-04-13 | |
| dc.description.department | Institute of Formal and Applied Linguistics | en_US |
| dc.description.department | Ústav formální a aplikované lingvistiky | cs_CZ |
| dc.description.faculty | Faculty of Mathematics and Physics | en_US |
| dc.description.faculty | Matematicko-fyzikální fakulta | cs_CZ |
| dc.identifier.repId | 43987 | |
| dc.title.translated | Language Modeling for Speech Recognition of Czech | en_US |
| dc.identifier.aleph | 001851624 | |
| thesis.degree.name | RNDr. | |
| thesis.degree.level | rigorózní řízení | cs_CZ |
| thesis.degree.discipline | Computational Linguistics | en_US |
| thesis.degree.discipline | Matematická lingvistika | cs_CZ |
| thesis.degree.program | Computer Science | en_US |
| thesis.degree.program | Informatika | cs_CZ |
| uk.thesis.type | rigorózní práce | cs_CZ |
| uk.taxonomy.organization-cs | Matematicko-fyzikální fakulta::Ústav formální a aplikované lingvistiky | cs_CZ |
| uk.taxonomy.organization-en | Faculty of Mathematics and Physics::Institute of Formal and Applied Linguistics | en_US |
| uk.faculty-name.cs | Matematicko-fyzikální fakulta | cs_CZ |
| uk.faculty-name.en | Faculty of Mathematics and Physics | en_US |
| uk.faculty-abbr.cs | MFF | cs_CZ |
| uk.degree-discipline.cs | Matematická lingvistika | cs_CZ |
| uk.degree-discipline.en | Computational Linguistics | en_US |
| uk.degree-program.cs | Informatika | cs_CZ |
| uk.degree-program.en | Computer Science | en_US |
| thesis.grade.cs | Uznáno | cs_CZ |
| thesis.grade.en | Recognized | en_US |
| uk.abstract.en | 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) | en_US |
| uk.file-availability | V | |
| uk.grantor | Univerzita Karlova, Matematicko-fyzikální fakulta, Ústav formální a aplikované lingvistiky | cs_CZ |
| thesis.grade.code | U | |
| uk.publication-place | Praha | cs_CZ |
| uk.thesis.defenceStatus | U | |
| dc.identifier.lisID | 990018516240106986 | |
