  This paper presents a newly developed, simultaneous neural speech-to-speech
translation system and its evaluation. The system consists of three
fully-incremental neural processing modules for automatic speech recognition
(ASR), machine translation (MT), and text-to-speech synthesis (TTS). We
investigated its overall latency in the system's Ear-Voice Span and speaking
latency along with module-level performance.
