Google Brain researchers have succeeded in translating speech without transcribing it first . Speech translation by machines normally involves first converting it into text before translating it into another language , meaning any error in the initial translation will lead to a mistake in the latter . Researchers used neural networks – computer systems modelled on the human brain – to cut out the transcription phase , potentially paving the way for more accurate and faster translations . In those translating from French to English , the neural network - based system produced better quality translations than those converting into text first .
Google Brain researchers have succeeded in translating speech without transcribing it first. Speech translation by machines normally involves first converting it into text before translating it into another language, meaning any error in the initial stage will lead to a mistake in the latter. Researchers used neural networks – computer systems modelled on the human brain – to cut out the transcription phase, potentially paving the way for more accurate and faster translations. In tests translating from Spanish to English, the neural network-based system produced better quality translations than those transcribed into text first.