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.
Reference:
Louw, J.A. and Moodley, A. 2018. Rhonda: The architecture of a multilingual speech-to-speech translation pipeline. 2018 International Conference on Intelligent & Innovative Computing Applications (ICONIC), Holiday Inn Mon Tresor, Mauritius, 6-7 December 2018, pp 194-200.
Louw, J. A., & Moodley, A. (2018). Rhonda: The architecture of a multilingual speech-to-speech translation pipeline. IEEE. http://hdl.handle.net/10204/11378
Louw, Johannes A, and Avashlin Moodley. "Rhonda: The architecture of a multilingual speech-to-speech translation pipeline." (2018): http://hdl.handle.net/10204/11378
Louw JA, Moodley A, Rhonda: The architecture of a multilingual speech-to-speech translation pipeline; IEEE; 2018. http://hdl.handle.net/10204/11378 .
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