Human Language Technologies for Under-Resourced African Languages

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 thatlearns 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

Introduction.- Adaptive Template-based Front End for Tone Language Speech Synthesis.- Intra-Speaker Variability Assessment for Speaker Recognition in Degraded Conditions.- Towards Ontology-driven Application for Multilingual Speech Language Therapy.- Ibibio Spoken-CALL System.- Conclusion.