JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques
Abstract
We present JANUS, a speech-to-speech translation system that utilizes diverse processing strategies, including connectionist learning, tradi(cid:173) tional AI knowledge representation approaches, dynamic programming, and stochastic techniques. JANUS translates continuously spoken English and German into German, English, and Japanese. JANUS cur(cid:173) rently achieves 87% translation fidelity from English speech and 97% from German speech. We present the JANUS system along with com(cid:173) parative evaluations of its interchangeable processing components, with special emphasis on the connectionist modules.
Cite
Text
Waibel et al. "JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques." Neural Information Processing Systems, 1991.Markdown
[Waibel et al. "JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/waibel1991neurips-janus/)BibTeX
@inproceedings{waibel1991neurips-janus,
title = {{JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques}},
author = {Waibel, Alex and Jain, Ajay N. and McNair, Arthur E. and Tebelskis, Joe and Osterholtz, Louise and Saito, Hiroaki and Schmidbauer, Otto and Sloboda, Tilo and Woszczyna, Monika},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {183-190},
url = {https://mlanthology.org/neurips/1991/waibel1991neurips-janus/}
}