dc.contributor.author | Kozhirbayev, Zhanibek | |
dc.contributor.author | Karabalayeva, Muslima | |
dc.contributor.author | Yessenbayev, Zhandos | |
dc.date.accessioned | 2018-05-29T05:13:14Z | |
dc.date.available | 2018-05-29T05:13:14Z | |
dc.date.issued | 2016-08-21 | |
dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/3211 | |
dc.description.abstract | The paper presents a spoken term detection system for Kazakh language in which significant improvements are obtained through modifying speech-to-text process used for generating word- based lattices. These lattices are indexed and used for the keyword search later. Spoken Term Detection systems quickly discover the occurrence of a term, which might be just a word or sequence of words, in a large audio set of heterogeneous speech records. The paper provides an overview of a speech-to-text and keyword search system architecture built primarily on the top of the Kaldi toolkit and expands on a few highlights. Our aim was to develop a general system pipeline which could be advanced regarding phonological and linguistic features of Kazakh language in order to detect OOV keywords. | en_US |
dc.language.iso | en | en_US |
dc.publisher | The 4-th International Conference on Computer Processing of Turkic Languages | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Speech Retrieval, Lattice Indexing, Spoken Term Detection, Speech Recognition, Keyword Search | en_US |
dc.title | Spoken term detection for Kazakh language | en_US |
dc.title.alternative | ПОИСК РАЗГОВОРНОГО ТЕРМИНА НА КАЗАХСКОМ ЯЗЫКЕ | en_US |
dc.type | Conference Paper | en_US |
workflow.import.source | science |
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