Recent advances in SRI'S IraqComm™ Iraqi Arabic-English speech-to-speech translation system

  • Authors:
  • Murat Akbacak;Horacio Franco;Michael Frandsen;Sasa Hasan;Huda Jameel;Andreas Kathol;Shahram Khadivi; Xin Lei;Arindam Mandal;Saab Mansour;Kristin Precoda;Colleen Richey;Dimitra Vergyri; Wen Wang;Mei Yang;Jing Zheng

  • Affiliations:
  • SRI International, Menlo Park, CA 94025 USA;SRI International, Menlo Park, CA 94025 USA;SRI International, Menlo Park, CA 94025 USA;RWTH Aachen, D-52056, Germany;SRI International, Menlo Park, CA 94025 USA;SRI International, Menlo Park, CA 94025 USA;RWTH Aachen, D-52056, Germany;SRI International, Menlo Park, CA 94025 USA;SRI International, Menlo Park, CA 94025 USA;RWTH Aachen, D-52056, Germany;SRI International, Menlo Park, CA 94025 USA;SRI International, Menlo Park, CA 94025 USA;SRI International, Menlo Park, CA 94025 USA;SRI International, Menlo Park, CA 94025 USA;University of Washington, Seattle, 98195 USA;SRI International, Menlo Park, CA 94025 USA

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

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Abstract

We summarize recent progress on SRI's IraqComm™ Iraqi Arabic-English two-way speech-to-speech translation system. In the past year we made substantial developments in our speech recognition and machine translation technology, leading to significant improvements in both accuracy and speed of the IraqComm system. On the 2008 NIST-evaluation dataset our twoway speech-to-text (S2T) system achieved 6% to 8% absolute improvement in BLEU in both directions, compared to our previous year system [1].