Janica Asplund (on the left) talks about the versatility of speech recognition.
Highly capable AI-based speech recognition for dictation in healthcare delivers good results.
“Patient documentation is three times faster with speech recognition, compared to manual processing,” explains Heikki Korvenranta, Medical Advisor, Healthcare Processes & Information Technology at Lingsoft.
Lingsoft is taking part in the two-year Necoverse project, which uses virtual technology to create a variety of interactive virtual environments for the training, design, and remote operations of shipyards and shipbuilding.
The Necoverse project is part of the NEcOLEAP locomotive ecosystem of Meyer Turku, the aim of which is to create a climate-neutral cruise ship concept. It is not enough for the ship itself to be climate neutral; the construction process and building environment must also meet the same target.
An accurate recognition model and rapid deployment process were exactly what the staff of Työterveys Lappica, a provider of occupational health services, needed to enhance their everyday workflow.
Every one of us is an expert in a field. Be it crocheting, rheumatology, architecture or gardening, all fields have their own specialist terminology that makes it easier to talk concisely about complicated and specific matters.
Everyone must use health care services at some point, and many of us read the doctor’s or nurse’s entries concerning our treatment. The entries are written with health care specialist terminology to make them as precise and unambiguous as possible when various professionals process them.
Lingsoft has its roots in academia, as it was established in 1986 by two professors, Fred Karlsson and Kimmo Koskeniemi, from the University of Helsinki. Since then, collaborating with Finnish and other Nordic research organisations has always been an important part of Lingsoft’s strategy for enabling language technology solutions with state-of-the-art performance for the Nordic languages.
In recent years, a new generation of artificial intelligence-based machine translation has revolutionised the daily lives of ordinary consumers and the work of translation professionals. Automatic translation is available in online services and social media platforms, where it often helps users understand key content. However, automated translations occasionally cause misunderstandings, frustration or even embarrassment, negatively affectingthe customer experience and the organisation’s brand image.