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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation

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Speech-to-Speech Translation (Paperback, 1st ed. 2020) Loot Price: R1,521
Discovery Miles 15 210
Speech-to-Speech Translation (Paperback, 1st ed. 2020): Yutaka Kidawara, Eiichiro Sumita, Hisashi Kawai

Speech-to-Speech Translation (Paperback, 1st ed. 2020)

Yutaka Kidawara, Eiichiro Sumita, Hisashi Kawai

Series: SpringerBriefs in Computer Science

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Loot Price R1,521 Discovery Miles 15 210 | Repayment Terms: R143 pm x 12*

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This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. 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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: SpringerBriefs in Computer Science
Release date: December 2019
First published: 2020
Editors: Yutaka Kidawara • Eiichiro Sumita • Hisashi Kawai
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 91
Edition: 1st ed. 2020
ISBN-13: 978-981-15-0594-2
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 981-15-0594-2
Barcode: 9789811505942

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