Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/979
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dc.contributor.authorArısoy, Ebru-
dc.contributor.authorSaraçlar, Murat-
dc.date.accessioned2019-03-07T15:09:02Z
dc.date.available2019-03-07T15:09:02Z
dc.date.issued2018-
dc.identifier.citationArisoy, E. & Saraclar, M. (2018). Turkish speech recognition. in Turkish Natural Language Processing. Springer. pp. 93.-114en_US
dc.identifier.isbn9783319901657-
dc.identifier.isbn9783319901633-
dc.identifier.urihttps://hdl.handle.net/20.500.11779/979-
dc.identifier.urihttps://doi.org/10.1007/978-3-319-90165-7_5-
dc.description.abstractAutomatic speech recognition (ASR) is one of the most important applications of speech and language processing, as it forms the bridge between spoken and written language processing. This chapter presents an overview of the foundations of ASR, followed by a summary of Turkish language resources for ASR and a review of various Turkish ASR systems. Language resources include acoustic and text corpora as well as linguistic tools such as morphological parsers, morphological disambiguators, and dependency parsers, discussed in more detail in other chapters. Turkish ASR systems vary in the type and amount of data used for building the models. The focus of most of the research for Turkish ASR is the language modeling component covered in Chap. 4.en_US
dc.language.isoenen_US
dc.relation.ispartofTurkish Natural Language Processingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleTurkish Speech Recognitionen_US
dc.typeBook Parten_US
dc.identifier.doi10.1007/978-3-319-90165-7_5-
dc.authoridEbru Arısoy / 0000-0002-8311-3611-
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.identifier.endpage114en_US
dc.identifier.startpage93en_US
dc.departmentMühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.institutionauthorArısoy, Ebru-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeBook Part-
item.languageiso639-1en-
item.grantfulltextembargo_20890214-
item.fulltextWith Fulltext-
crisitem.author.dept02.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu
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