Publication Details
Speech Technology for Unwritten Languages
BESACIER, L.
BLACK, A.
Hasegawa-Johnson Mark
Metze Florian
NEUBIG, G.
STÜKER, S.
GODARD, P.
MÜLLER, M.
ONDEL YANG, L.
PALASKAR, S.
ARTHUR, P.
CIANNELLA, F.
DU, M.
LARSEN, E.
MERKX, D.
RIAD, R.
WANG, L.
Dupoux Emmanuel
Speech processing, automatic speech recognition,unsupervised learning, speech synthesis, image retrieval.
Abstract-Speech technology plays an important role in oureveryday life. Among others, speech is used for human-computerinteraction, for instance for information retrieval and on-lineshopping. In the case of an unwritten language, however, speechtechnology is unfortunately difficult to create, because it cannotbe created by the standard combination of pre-trained speech-to-text and text-to-speech subsystems. The research presented in this article takes the first steps towards speech technology forunwritten languages. Specifically, the aim of this work was 1) tolearn speech-to-meaning representations without using text as anintermediate representation, and 2) to test the sufficiency of thelearned representations to regenerate speech or translated text, orto retrieve images that depict the meaning of an utterance in anunwritten language. The results suggest that building systems thatgo directly from speech-to-meaning and from meaning-to-speech,bypassing the need for text, is possible.
@article{BUT170325,
author="SCHARENBORG, O. and BESACIER, L. and BLACK, A. and HASEGAWA-JOHNSON, M. and METZE, F. and NEUBIG, G. and STÜKER, S. and GODARD, P. and MÜLLER, M. and ONDEL YANG, L. and PALASKAR, S. and ARTHUR, P. and CIANNELLA, F. and DU, M. and LARSEN, E. and MERKX, D. and RIAD, R. and WANG, L. and DUPOUX, E.",
title="Speech Technology for Unwritten Languages",
journal="IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING",
year="2020",
volume="2020",
number="28",
pages="964--975",
doi="10.1109/TASLP.2020.2973896",
issn="2329-9290",
url="https://ieeexplore.ieee.org/document/8998182"
}