| 书目名称 | Speech-to-Speech Translation | | 编辑 | Yutaka Kidawara,Eiichiro Sumita,Hisashi Kawai | | 视频video | | | 概述 | 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 bi | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | 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 sy | | 出版日期 | Book 2020 | | 关键词 | S2S; Machine translation; Speech communication; Language Processing; speech recognition; speech synthesis | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-0595-9 | | isbn_softcover | 978-981-15-0594-2 | | isbn_ebook | 978-981-15-0595-9Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 |
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发表于 2025-3-21 20:01:57
