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020 _a9789811505959
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024 7 _a10.1007/978-981-15-0595-9
_2doi
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_2bicssc
072 7 _aCOM073000
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082 0 4 _a006.35
_223
245 1 0 _aSpeech-to-Speech Translation
_h[electronic resource] /
_cedited by Yutaka Kidawara, Eiichiro Sumita, Hisashi Kawai.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXIV, 91 p. 50 illus., 9 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5776
505 0 _a1. 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 _aThis 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 _aNatural language processing (Computer science).
650 0 _aSignal processing.
650 1 4 _aNatural Language Processing (NLP).
650 2 4 _aSignal, Speech and Image Processing.
700 1 _aKidawara, Yutaka.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSumita, Eiichiro.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKawai, Hisashi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811505942
776 0 8 _iPrinted edition:
_z9789811505966
830 0 _aSpringerBriefs in Computer Science,
_x2191-5776
856 4 0 _uhttps://doi.org/10.1007/978-981-15-0595-9
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942 _cSPRINGER
999 _c185471
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