The main technique that is used during face to face communication is speech, but this involves a lot more than just listening to the words that people say. Reading someone’s lips can also be a crucial aspect of this since it can help you parse the meaning of their words in situations where you might not be able to hear them all that clearly, and that is something that Meta seems to be taking into account when it comes to their AI.
A lot of studies have revealed that it would be a lot more difficult to understand whatever it is that someone is trying to say if you can’t see the manner in which their mouth is moving. Meta has developed a new framework called AV-HuBERT that will take both factors into account because of the fact that this is the sort of thing that could potentially end up vastly improving its speech recognition potential, although it should be said that this is only a test at this point.
Introduction La cybersécurité est devenue une priorité stratégique pour toutes les entreprises, grandes ou petites.…
Cybersécurité : les établissements de santé renforcent leur défense grâce aux exercices de crise Face…
La transformation numérique du secteur financier n'a pas que du bon : elle augmente aussi…
L'IA : opportunité ou menace ? Les DSI de la finance s'interrogent Alors que l'intelligence…
Telegram envisage de quitter la France : le chiffrement de bout en bout au cœur…
Sécurité des identités : un pilier essentiel pour la conformité au règlement DORA dans le…
This website uses cookies.