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Neural Incremental Speech Recognition Toward Real-Time Machine Speech Translation
2021
IEICE transactions on information and systems
Real-time machine speech translation systems mimic human interpreters and translate incoming speech from a source language to the target language in real-time. Such systems can be achieved by performing low-latency processing in ASR (automatic speech recognition) module before passing the output to MT (machine translation) and TTS (text-tospeech synthesis) modules. Although several studies recently proposed sequence mechanisms for neural incremental ASR (ISR), these frameworks have a more
doi:10.1587/transinf.2021edp7014
fatcat:4xxttvurvncw5lcbuyyjld3vqe