Turkish Speech Recognition

dc.authorid Ebru Arısoy / 0000-0002-8311-3611
dc.contributor.author Arısoy, Ebru
dc.contributor.author Saraçlar, Murat
dc.date.accessioned 2019-03-07T15:09:02Z
dc.date.available 2019-03-07T15:09:02Z
dc.date.issued 2018
dc.department Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü en_US
dc.description.abstract Automatic 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.identifier.citation Arisoy, E. & Saraclar, M. (2018). Turkish speech recognition. in Turkish Natural Language Processing. Springer. pp. 93.-114 en_US
dc.identifier.doi 10.1007/978-3-319-90165-7_5
dc.identifier.endpage 114 en_US
dc.identifier.isbn 9783319901657
dc.identifier.isbn 9783319901633
dc.identifier.scopusquality N/A
dc.identifier.startpage 93 en_US
dc.identifier.uri https://hdl.handle.net/20.500.11779/979
dc.identifier.uri https://doi.org/10.1007/978-3-319-90165-7_5
dc.identifier.wosquality N/A
dc.institutionauthor Arısoy, Ebru
dc.language.iso en en_US
dc.relation.ispartof Turkish Natural Language Processing en_US
dc.relation.publicationcategory Kitap Bölümü - Uluslararası en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.title Turkish Speech Recognition en_US
dc.type Book Part en_US

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