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Human Language Technologies for Under-Resourced African Languages = Design, Challenges, and Prospects /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Human Language Technologies for Under-Resourced African Languages/ edited by Moses Effiong Ekpenyong.
Reminder of title:	Design, Challenges, and Prospects /
other author:	Ekpenyong, Moses Effiong.
Description:	XIII, 134 p. 55 illus., 30 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Signal processing. -
Online resource:	https://doi.org/10.1007/978-3-319-69960-8
ISBN:	9783319699608

Human Language Technologies for Under-Resourced African Languages = Design, Challenges, and Prospects /
Human Language Technologies for Under-Resourced African LanguagesDesign, Challenges, and Prospects /[electronic resource] :edited by Moses Effiong Ekpenyong. - 1st ed. 2018. - XIII, 134 p. 55 illus., 30 illus. in color.online resource. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,2191-737X. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,.

This 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.

ISBN: 9783319699608

Standard No.: 10.1007/978-3-319-69960-8doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Human Language Technologies for Under-Resourced African Languages = Design, Challenges, and Prospects /
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