國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Speech-to-speech translation

Kawai, Hisashi.

Speech-to-speech translation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Speech-to-speech translationedited by Yutaka Kidawara, Eiichiro Sumita, Hisashi Kawai.
其他作者:	Kidawara, Yutaka.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xiv, 91 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Automatic speech recognition.
電子資源:	https://doi.org/10.1007/978-981-15-0595-9
ISBN:	9789811505959$q(electronic bk.)

Speech-to-speech translation
Speech-to-speech translation[electronic resource] /edited by Yutaka Kidawara, Eiichiro Sumita, Hisashi Kawai. - Singapore :Springer Singapore :2020. - xiv, 91 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

1. Multilingualization of Speech Processing -- 2. Automatic Speech Recognition -- 3. Text-to-Speech Synthesis -- 4. Language Translation -- 5. Field Experiment System "VoiceTra" -- 6. Measuring the Capability of a Speech Translation System -- 7. The Future of Speech-to-Speech Translation.

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.

ISBN: 9789811505959$q(electronic bk.)

Standard No.: 10.1007/978-981-15-0595-9doiSubjects--Topical Terms:

184258
Automatic speech recognition.

LC Class. No.: TK7895.S65 / S64 2020

Dewey Class. No.: 006.454

Speech-to-speech translation
LDR:02748nmm a2200337 a 4500 001 573994
003 DE-He213
005 20191122171109.0
006 m d
007 cr nn 008maaau
008 201007s2020 si s 0 eng d
020 $a 9789811505959$q(electronic bk.)
020 $a 9789811505942$q(paper)
024 7 $a 10.1007/978-981-15-0595-9 $2 doi
035 $a 978-981-15-0595-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7895.S65 $b S64 2020
072 7 $a UYQL $2 bicssc
072 7 $a COM073000 $2 bisacsh
072 7 $a UYQL $2 thema
082 0 4 $a 006.454 $2 23
090 $a TK7895.S65 $b S742 2020
245 0 0 $a Speech-to-speech translation $h [electronic resource] / $c edited by Yutaka Kidawara, Eiichiro Sumita, Hisashi Kawai.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xiv, 91 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a 1. Multilingualization of Speech Processing -- 2. Automatic Speech Recognition -- 3. Text-to-Speech Synthesis -- 4. Language Translation -- 5. Field Experiment System "VoiceTra" -- 6. Measuring the Capability of a Speech Translation System -- 7. The Future of Speech-to-Speech Translation.
520 $a 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.
650 0 $a Automatic speech recognition. $3 184258
650 0 $a Machine translating. $3 180536
650 0 $a Natural language processing (Computer science) $3 200539
650 1 4 $a Natural Language Processing (NLP) $3 826373
650 2 4 $a Signal, Image and Speech Processing. $3 273768
700 1 $a Kidawara, Yutaka. $3 861503
700 1 $a Sumita, Eiichiro. $3 861504
700 1 $a Kawai, Hisashi. $3 861505
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 559641
856 4 0 $u https://doi.org/10.1007/978-981-15-0595-9
950 $a Computer Science (Springer-11645)