000 | 04093nam a22005895i 4500 | ||
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001 | 978-3-319-69960-8 | ||
003 | DE-He213 | ||
005 | 20210201191458.0 | ||
007 | cr nn 008mamaa | ||
008 | 180125s2018 gw | s |||| 0|eng d | ||
020 |
_a9783319699608 _9978-3-319-69960-8 |
||
050 | 4 | _aTK5102.9 | |
050 | 4 | _aTA1637-1638 | |
072 | 7 |
_aTTBM _2bicssc |
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072 | 7 |
_aTEC008000 _2bisacsh |
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072 | 7 |
_aTTBM _2thema |
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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. |
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300 |
_aXIII, 134 p. 55 illus., 30 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, _x2191-737X |
|
500 | _aAcceso multiusuario | ||
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. | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
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650 | 0 | _aSignal processing. | |
650 | 0 | _aImage processing. | |
650 | 0 | _aSpeech processing systems. | |
650 | 0 | _aNatural language processing (Computer science). | |
650 | 0 | _aComputational linguistics. | |
650 | 1 | 4 |
_aSignal, Image and Speech Processing. _0https://scigraph.springernature.com/ontologies/product-market-codes/T24051 |
650 | 2 | 4 |
_aNatural Language Processing (NLP). _0https://scigraph.springernature.com/ontologies/product-market-codes/I21040 |
650 | 2 | 4 |
_aComputational Linguistics. _0https://scigraph.springernature.com/ontologies/product-market-codes/N22000 |
700 | 1 |
_aEkpenyong, Moses Effiong. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
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, _x2191-737X |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-69960-8 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
_c243932 _d243931 |