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Speech-to-Speech Translation: A Review

by Mahak Dureja, Sumanlata Gautam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 13
Year of Publication: 2015
Authors: Mahak Dureja, Sumanlata Gautam
10.5120/ijca2015907079

Mahak Dureja, Sumanlata Gautam . Speech-to-Speech Translation: A Review. International Journal of Computer Applications. 129, 13 ( November 2015), 28-30. DOI=10.5120/ijca2015907079

@article{ 10.5120/ijca2015907079,
author = { Mahak Dureja, Sumanlata Gautam },
title = { Speech-to-Speech Translation: A Review },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 13 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 28-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number13/23135-2015907079/ },
doi = { 10.5120/ijca2015907079 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:19.920323+05:30
%A Mahak Dureja
%A Sumanlata Gautam
%T Speech-to-Speech Translation: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 13
%P 28-30
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper reviews the technology used in Speech-to-Speech Translation that is the phrases spoken in one language are immediately spoken in another language by the device. Speech-to-Speech Translation is a three step software process which includes Automatic speech Recognition, Machine Translation and voice synthesis. This paper includes the major speech translation projects using different approaches for speech recognition, translation and text to speech synthesis highlighting the major pros and cons for the approach being used.

References
  1. Gao, Yuqing, et al. "IBM MASTOR: Multilingual automatic speech-to-speech translator." Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on. Vol. 5. IEEE, 2006.
  2. Wahlster, Wolfgang. "Mobile Speech-to-Speech Translation of spontaneous dialogs: an overview of the final Verbmobil system." Verbmobil: Foundations of Speech-to-Speech Translation. Springer Berlin Heidelberg, 2000. 3-21.
  3. Zhang, Ying. "Survey of current speech translation research." Found on Web: http://projectile. is. cs. cmu. edu/research/public/tal ks/speechTranslation /sst-survey-joy. pdf (2003).
  4. Boitet, Christian, et al. "Evolution of MT with the Web." Proceedings of the Conference” Machine Translation 25 Years On. 2009.
  5. Gu, Liang, et al. "Concept-based Speech-to-Speech Translation using maximum entropy models for statistical natural concept generation." Audio, Speech, and Language Processing, IEEE Transactions on 14.2 (2006): 377-392.
  6. Chelba, Ciprian, et al. "Large scale language modeling in automatic speech recognition." arXiv preprint arXiv:1210.8440 (2012).
  7. Narayanan, Shrikanth, et al. "Speech recognition engineering issues in speech to speech translation system design for low resource languages and domains."Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on. Vol. 5. IEEE, 2006.
  8. Yun, Seung, Young-Jik Lee, and Sang-Hun Kim. "Multilingual Speech-to-Speech Translation system for mobile consumer devices." Consumer Electronics, IEEE Transactions on 60.3 (2014): 508-516.
Index Terms

Computer Science
Information Sciences

Keywords

Automatic Speech Recognition (ASR) Machine Translations (MT) Text-To-Speech synthesis (TTS).

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