| Description |
1 online resource |
| Series |
SpringerBriefs in electrical and computer engineering, Speech technology, 2191-8112 |
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SpringerBriefs in electrical and computer engineering. Speech technology.
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| Contents |
Intro; Foreword; Preface; Contents; About the Author; Chapter 1: Adaptive Template-Based Front End for Tone Language Speech Synthesis; 1.1 Introduction; 1.2 Speech Synthesis: The Problem; 1.3 TTS System Front End; 1.3.1 Rule-Based (RB) Vs. Data-Driven (DD); 1.3.2 The Ibibio Language; 1.3.2.1 Phonological Structure; 1.3.3 Utterance Database; 1.3.3.1 Ibibio TTS Utterance Processing; 1.3.4 Context Features Modeling; 1.3.5 HTS Label Generation; 1.3.6 HTS Question File; 1.4 NLP Modules; 1.4.1 Important Folders and Data Files; 1.4.2 Required Scripts; 1.4.3 Running the Front End; Appendix |
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2.3.4 Phonology: Implications for Language/Speech Technology2.4 Methodology; 2.4.1 System Architecture; 2.4.2 Utterance Dataset; 2.4.3 Participants/Speakers Selection for Speech Recording â#x80;#x93; Speech Signal Dataset; 2.4.3.1 Participants/Speakers Selection; 2.4.3.2 Speech Recording: Environment, Instrument, Sessions; 2.4.3.3 Speech Signal Dataset; 2.4.4 Speech Feature Extraction; 2.4.4.1 Prosodic Feature Extraction; 2.4.4.2 Spectro-Temporal Feature Extraction; 2.4.4.3 Speech Feature Dataset; 2.5 Results; 2.5.1 Frame-by-Frame Analysis; 2.5.2 Principal Component Analysis |
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2.5.2.1 Results of Duration Components Analysis2.5.3 SOM Clustering and Visualization; 2.5.3.1 Results of SOM Clustering; 2.5.3.2 Results of Component Plane Visualization; 2.6 Conclusion and Future Research Direction; References; Chapter 3: Towards Ontology-Driven Application for Multilingual Speech Language Therapy; 3.1 Introduction; 3.2 Ontology-Driven Applications; 3.3 Ontology Evaluation; 3.3.1 Evaluation Metric; 3.4 Speech Language Therapy: Challenges and Prospects; 3.5 Proposed MNCH Information System; 3.5.1 Domain Data Collection and Classification; 3.5.2 The SLT Framework |
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3.6 Implications of the SLT Framework3.7 Model Implementation; 3.7.1 The MNCH OntoGraph; 3.8 Conclusion and Future Research Direction; References; Chapter 4: Ibibio Spoken-CALL System; 4.1 Introduction; 4.1.1 CALL Overview; 4.1.2 Design Challenges; 4.1.3 Design Approach; 4.2 CALL Systems: Genesis and Development; 4.2.1 From CALL to Spoken-CALL; 4.2.2 CALL and Speech Technology; 4.3 System Design; 4.3.1 Model Framework; 4.3.2 Interface Architecture; 4.4 System Evaluation; 4.4.1 Subjects/Participants; 4.4.2 Evaluation Method; 4.5 Results; 4.5.1 Naturalness Test; 4.5.2 Intelligibility Test |
| Summary |
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 |
| Notes |
Includes index |
| Bibliography |
Includes bibliographical references at the end of each chapters and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed February 1, 2018) |
| Subject |
Automatic speech recognition.
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Natural language processing (Computer science)
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Natural Language Processing
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Natural language & machine translation.
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Computational linguistics.
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Imaging systems & technology.
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COMPUTERS -- General.
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Automatic speech recognition
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Natural language processing (Computer science)
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| Form |
Electronic book
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| Author |
Ekpenyong, Moses Effiong, editor
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| ISBN |
9783319699608 |
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3319699601 |
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