Testing generality in JANUS: a multi-lingual speech translation system

Authors:
Louise Osterholtz;Charles Augustine;Arthur McNair;Ivica Rogina;Hiroaki Saito;Tilo Sloboda;Joe Tebelskis;Alex Waibel
Affiliations:
Carnegie Mellon University;Computer Science Department, University of Pennsylvania;School of Computer Science, Carnegie Mellon University;Fakultät für Informatik, Universität Karlsruhe, Germany;Keio University, Japan;Fakultät für Informatik, Universität Karlsruhe, Germany;School of Computer Science, Carnegie Mellon University;School of Computer Science, Carnegie Mellon University and Fakultät für Informatik, Universität Karlsruhe, Germany
Venue:
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Year:
1992

Citing 3
Cited 0

Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems

Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Continuous speech recognition using linked predictive neural networks

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
JANUS: a speech-to-speech translation system using connectionist and symbolic processing strategies

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference

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Abstract

For speech translation to be practical and useful, speech translation systems should be portable to multiple languages without substantial modification. We present the results of expanding the English-based. JANUS speech translation system [1] to translate from spoken German sentences to English and Japanese utterances. We also report the results of implementing part of the LPNN speech recognition module on a massively parallel machine. The JANUS approach generalizes well, with overall system performance of 97%. This surpasses English-based JANUS performance.