Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model

INTERSPEECH, pp. 1123-1127, 2019.

Cited by: 26|Bibtex|Views83|DOI:https://doi.org/10.21437/Interspeech.2019-1951
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

We present an attention-based sequence-to-sequence neural network which can directly translate speech from one language into speech in another language, without relying on an intermediate text representation. The network is trained end-to-end, learning to map speech spectrograms into target spectrograms in another language, correspondin...More

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