Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques. (arXiv:2201.11172v1 [cs.CL])

Web: http://arxiv.org/abs/2201.11172

Recently, end-to-end speech translation (ST) has gained significant attention
as it avoids error propagation. However, the approach suffers from data
scarcity. It heavily depends on direct ST data and is less efficient in making
use of speech transcription and text translation data, which is often more
easily available. In the related field of multilingual text translation,
several techniques have been proposed for zero-shot translation. A main idea is
to increase the similarity of semantically similar sentences in different
languages. We …

arxiv data machine machine translation speech translation