Details

Autor(en) / Beteiligte

• Nakamura, S.
• Markov, K.
• Nakaiwa, H.
• Kikui, G.
• Kawai, H.
• Jitsuhiro, T.
• Zhang, J.-S.
• Yamamoto, H.
• Sumita, E.
• Yamamoto, S.

Titel

The ATR Multilingual Speech-to-Speech Translation System

Ist Teil von

• IEEE transactions on audio, speech, and language processing, 2006-03, Vol.14 (2), p.365-376

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2006

Quelle

IEEE Xplore

Beschreibungen/Notizen

• In this paper, we describe the ATR multilingual speech-to-speech translation (S2ST) system, which is mainly focused on translation between English and Asian languages (Japanese and Chinese). There are three main modules of our S2ST system: large-vocabulary continuous speech recognition, machine text-to-text (T2T) translation, and text-to-speech synthesis. All of them are multilingual and are designed using state-of-the-art technologies developed at ATR. A corpus-based statistical machine learning framework forms the basis of our system design. We use a parallel multilingual database consisting of over 600 000 sentences that cover a broad range of travel-related conversations. Recent evaluation of the overall system showed that speech-to-speech translation quality is high, being at the level of a person having a Test of English for International Communication (TOEIC) score of 750 out of the perfect score of 990.