Title: Rhonda: the architecture of a multilingual speech-to-speech translation pipeline
Abstract: Speech-to-speech translation can be described as converting a speech signal from a source language into a speech signal of the same meaning or intent into a target language. This process is achieved by the coordinated cooperation of individual Human Language Technology components, where the most important components to a speech translation system are automatic speech recognition, machine translation and text-to-speech. In this paper we present and discuss the design and architectural building blocks of the Rhonda speech-to-speech translation system, as well as their interactions with each other to facilitate speech-to-speech translation in a reliable, scalable and possibly distributed manner.
Publication Year: 2018
Publication Date: 2018-12-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 2
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