We present a direct speech-to-speech translation (S2ST) model that translates speech from
one language to speech in another language without relying on intermediate text …

Large-scale automatic speech translation systems today lack key features that help machine-
mediated communication feel seamless when compared to human-to-human dialogue. In …

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 …

(57) ABSTRACT A speech translation system and methods for cross-lingual communication
that enable users to improve and modify con tent and usage of the system and easily abort …

Over its three decade history, speech translation has experienced several shifts in its
primary research themes; moving from loosely coupled cascades of speech recognition and …

Expressive speech-to-speech translation (S2ST) aims to transfer prosodic attributes of
source speech to target speech while maintaining translation accuracy. Existing research in …

Directly translating spoken utterances from a source language to a target language is
challenging because it requires a fundamental transformation in both linguistic and para/non …

Sequence-to-sequence attentional-based neural network architectures have been shown to
provide a powerful model for machine translation and speech recognition. Recently, several …

It has been known that direct speech-to-speech translation (S2ST) models usually suffer
from the data scarcity issue because of the limited existing parallel materials for both source …

Abstract While End-2-End Text-to-Speech (TTS) has made significant progresses over the
past few years, these systems still lack intuitive user controls over prosody. For instance …