Direct speech-to-speech translation with a sequence-to-sequence model

Conference of the International Speech Communication Association, 2019.

Cited by: 43|Bibtex|Views65|DOI:https://doi.org/10.21437/interspeech.2019-1951
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|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, corresponding ...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments