Architectures for speech-to-speech translation using finite-state models
S2S '02 Proceedings of the ACL-02 workshop on Speech-to-speech translation: algorithms and systems - Volume 7
The VI framework program in Europe: some thoughts about speech to speech translation research
S2S '02 Proceedings of the ACL-02 workshop on Speech-to-speech translation: algorithms and systems - Volume 7
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
The 'noisier channel': translation from morphologically complex languages
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Impacts of machine translation and speech synthesis on speech-to-speech translation
Speech Communication
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
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In speech translation, we are faced with the problem of how to couple the speech recognition process and the translation process. Starting from the Bayes decision rule for speech translation, we analyze how the interaction between the recognition process and the translation process can be modelled. In the light of this decision rule, we discuss the already existing approaches to speech translation. None of the existing approaches seems to have addressed this direct interaction. We suggest two new methods, the local averaging approximation and the monotone alignments.