Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/979
Title: | Turkish Speech Recognition | Authors: | Arısoy, Ebru Saraçlar, Murat |
Source: | Arisoy, E. & Saraclar, M. (2018). Turkish speech recognition. in Turkish Natural Language Processing. Springer. pp. 93.-114 | 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. | URI: | https://hdl.handle.net/20.500.11779/979 https://doi.org/10.1007/978-3-319-90165-7_5 |
ISBN: | 9783319901657 9783319901633 |
Appears in Collections: | Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu |
Files in This Item:
File | Description | Size | Format | |
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Ebru_2.pdf Until 2089-02-14 | Yayıncı Sürümü_Kitap Bölümü | 392.51 kB | Adobe PDF | View/Open Request a copy |
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