Editors:
- All the whole from its start to the final destination of speech to speech translation will be introduced
- Speech to speech translation is a remarkable success of machine learning technology based on big data
- Explained system evaluation methods is of high importance in that it guides development properly and persuade possible users to understand the competence of the system
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
-
Front Matter
About this book
Speech-to-speech translation system (S2S) enables to break language barriers, i.e., communicate each other between any pair of person on the glove, which is one of extreme dreams of humankind.
People, society, and economy connected by S2S will demonstrate explosive growth without exception.
In 1986, Japan initiated basic research of S2S, then the idea spread world-wide and were explored deeply by researchers during three decades.
Now, we see S2S application on smartphone/tablet around the world.
Computational resources such as processors, memories, wireless communication accelerate this computation-intensive systems and accumulation of digital data of speech and language encourage recent approaches based on machine learning.
Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life.
Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the system would be understood by the score of this evaluation.
The book will end with one of the next focus of S2S will be technology of simultaneous interpretation for lecture, broadcast news and so on.
Editors and Affiliations
-
Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan
Yutaka Kidawara
-
Advanced Translation Technology Laboratory, Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan
Eiichiro Sumita
-
Advanced Speech Technology Laboratory, Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan
Hisashi Kawai
Bibliographic Information
Book Title: Speech-to-Speech Translation
Editors: Yutaka Kidawara, Eiichiro Sumita, Hisashi Kawai
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-981-15-0595-9
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
Softcover ISBN: 978-981-15-0594-2Published: 06 December 2019
eBook ISBN: 978-981-15-0595-9Published: 22 November 2019
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XIV, 91
Number of Illustrations: 41 b/w illustrations, 9 illustrations in colour
Topics: Natural Language Processing (NLP), Signal, Image and Speech Processing