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001 978-3-319-69960-8
003 DE-He213
005 20220801221231.0
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008 180125s2018 sz | s |||| 0|eng d
020 _a9783319699608
_9978-3-319-69960-8
024 7 _a10.1007/978-3-319-69960-8
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621.382
_223
245 1 0 _aHuman Language Technologies for Under-Resourced African Languages
_h[electronic resource] :
_bDesign, Challenges, and Prospects /
_cedited by Moses Effiong Ekpenyong.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXIII, 134 p. 55 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
520 _aThis book provides an overview of a recent and flexible approach to speech synthesis design to develop the first statistical parametric speech synthesizer for Ibibio, a West African tonal language. The design precludes the inflexibility encountered when modeling tonal features of the language and can be used for other tonal African languages.  Mobile use and technological innovations in developing African nations have exploded. With mobile technology, many of the barriers caused by infrastructure issues have vanished. In order to address issues that are unique to African tonal languages, the book uses Ibibio as a model.  The text reviews the language's speech characteristics, required for building the front end components of the design and propose a finite state transducer (FST), useful for modelling the language’s tonetactics. The statistical parametric approach discussed in the text, implements the Hidden Markov Model (HMM) technique, with the goal of creating a generic structure that learns the model from the text itself, and uses the data-driven approach to input specification. Provides a practical approach to tonal language synthesis that will broaden innovations in communications engineering Discusses a solution for tonal language system model design problems that are unique to growing markets in developing nations Addresses a growing technological need of developing countries language preservation projects.
650 0 _aSignal processing.
_94052
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputational linguistics.
_96146
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputational Linguistics.
_96146
700 1 _aEkpenyong, Moses Effiong.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_954850
710 2 _aSpringerLink (Online service)
_954851
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319699585
776 0 8 _iPrinted edition:
_z9783319699592
830 0 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
_954852
856 4 0 _uhttps://doi.org/10.1007/978-3-319-69960-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79442
_d79442