DocumentCode :
3631372
Title :
Recent advances in SRI´S IraqComm™ Iraqi Arabic-English speech-to-speech translation system
Author :
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
Author_Institution :
SRI International, Menlo Park, CA 94025 USA
fYear :
2009
Firstpage :
4809
Lastpage :
4812
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].
Keywords :
"Lattices","Automatic speech recognition","Decoding","Speech recognition","Natural languages","Hidden Markov models","Testing","Protection","Hardware","Data processing"
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
2379-190X
Type :
conf
DOI :
10.1109/ICASSP.2009.4960707
Filename :
4960707
Link To Document :
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