Towards Simultaneous Machine Interpretation

Alejandro Pérez González de Martos, Javier Iranzo-Sánchez, Adrià Giménez-Pastor, Javier Jorge, Joan Albert Silvestre-Cerdà, Jorge Civera, Albert Sanchís, Alfons Juan

Abstract: Automatic speech-to-speech translation (S2S) is one of the most challenging speech and language processing tasks, especially when considering its application to real-time settings. Recent advances on streaming Automatic Speech Recognition (ASR), simultaneous Machine Translation (MT) and incremental neural Text-To-Speech (TTS) make it possible to develop real-time cascade S2S systems with greatly improved accuracy. On the way to simultaneous machine interpretation, a state-of-the-art cascade streaming S2S system is described and empirically assessed in the simultaneous interpretation of European Parliament debates. We pay particular attention to the TTS component, particularly in terms of speech naturalness under a variety of response-time settings, as well as in terms of speaker similarity for its cross-lingual voice cloning capabilities.