Human Language Technologies for Under-Resourced African Languages

Design, Challenges, and Prospects

  • Moses Effiong Ekpenyong

Part of the SpringerBriefs in Electrical and Computer Engineering book series

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Moses Effiong Ekpenyong, Udoinyang G. Inyang, Mercy E. Edoho, Eno-Abasi E. Urua
    Pages 31-83
  3. Patience U. Usip, Moses Effiong Ekpenyong
    Pages 85-101
  4. Moses Effiong Ekpenyong, EmemObong O. Udoh, Nseobong P. Uto
    Pages 103-126
  5. Back Matter
    Pages 127-134

About this book


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


African Languages Continuous Speech Recognition Systems Fnite State Transducer (FST) Hidden Markov Model (HMM) Phonological Rules Speech Recognition Tonal Languages

Editors and affiliations

  • Moses Effiong Ekpenyong
    • 1
  1. 1.Department of Computer ScienceUniversity of UyoUyo, Akwa Ibom StateNigeria

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-69958-5
  • Online ISBN 978-3-319-69960-8
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
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