| 書目名稱 | Human Language Technologies for Under-Resourced African Languages |
| 副標題 | Design, Challenges, |
| 編輯 | Moses Effiong Ekpenyong |
| 視頻video | http://file.papertrans.cn/430/429282/429282.mp4 |
| 概述 | 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 uniq |
| 叢書名稱 | SpringerBriefs in Speech Technology |
| 圖書封面 |  |
| 描述 | 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 ?nite 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. |
| 出版日期 | Book 2018 |
| 關鍵詞 | African Languages; Continuous Speech Recognition Systems; Fnite State Transducer (FST); Hidden Markov M |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-69960-8 |
| isbn_softcover | 978-3-319-69958-5 |
| isbn_ebook | 978-3-319-69960-8Series ISSN 2191-737X Series E-ISSN 2191-7388 |
| issn_series | 2191-737X |
| copyright | Springer Nature Switzerland AG 2018 |
|Archiver|手機版|小黑屋|
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