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Speech-to-Speech Translation pp 67–75Cite as

Field Experiment System “VoiceTra”

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Abstract

This chapter introduces “VoiceTra,” a speech-to-speech translation system which utilizes the technologies introduced in the previous chapters. VoiceTra’s client application has been released as to the public as a field experiment and has marked a total of 3,921,186 downloads and has collected as many as 178,054,211 speech utterances (as of August 31st, 2019), allowing the system to make continuous improvements. The following sections will cover the system overview, the communications protocols used between the client and server, the user interface of the client application, how the utterances are processed on the speech translation server, and finally the statistical data based on user downloads and logs.

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Notes

  1. 1.

    The value set for when statistical machine translation (SMT) is processed with central processing units (CPUs) only and when neural machine translation (NMT) is processed with CPUs and general-purpose graphics processing units (GPGPUs) combined.

References

  1. Kimura, N.: Speech Translation Markup Language (STML) Version 1.00. Tech. Rep., NICT, Kyoto, Japan (2008)

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  2. Yasuda, K., Sumita, E., Yamamoto, S., Kikui, G., Yanagida, M.: Real-time evaluation architecture for MT using multiple backward translations. In: Proceedings of RANLP2003, pp. 518–522 (2003)

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Author information

Authors and Affiliations

  1. System Development Office, Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan

    Yutaka Ashikari

  2. Advanced Speech Technology Laboratory, Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan

    Hisashi Kawai

Authors
  1. Yutaka Ashikari
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  2. Hisashi Kawai
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Corresponding author

Correspondence to Yutaka Ashikari .

Editor information

Editors and Affiliations

  1. Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan

    Yutaka Kidawara

  2. Advanced Translation Technology Laboratory, Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan

    Eiichiro Sumita

  3. Advanced Speech Technology Laboratory, Advanced Speech Translation Research and Development Promotion Center, National Institute of Information and Communications Technology, Kyoto, Japan

    Hisashi Kawai

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© 2020 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ashikari, Y., Kawai, H. (2020). Field Experiment System “VoiceTra”. In: Kidawara, Y., Sumita, E., Kawai, H. (eds) Speech-to-Speech Translation. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-15-0595-9_5

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  • DOI: https://doi.org/10.1007/978-981-15-0595-9_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0594-2

  • Online ISBN: 978-981-15-0595-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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