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Speech-To-Speech Translation (2020)

Contributor(s): Kidawara, Yutaka (Editor), Sumita, Eiichiro (Editor), Kawai, Hisashi (Editor)

ISBN: 9789811505942

Publisher: Springer

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Pub Date: December 6, 2019

Dewey: 006.35

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.22" H x 9.21" L x 6.14" W ( 0.36 lbs) 91 pages

Series: Springerbriefs in Computer Science

Descriptions, Reviews, etc.

Description: 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.

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