Also for healthcare. Nuance is a big player in the healthcare market. A whole segment where DL approaches are not suitable due to lack of transparency.
You won't use speech recognition to heal patients or make diagnosis..
And if you use it to control medical devices, then transparency is not what matters. A protocol matters, like the machine repeating the commands and asking for confirmation.
No, you use it for recording patient interactions and making notes.
The main difference in voice for these apps is an intentionally limited and specialised vocabulary, where you have to be pretty certain that they said aberrant rather than apparent, or anuresis rather than enuresis. A lack of humeral would mean you are lacking a particular fluid, while a lack of humerous would mean you are missing a bone. The difference between an apparent mole and an aberrant mole is pretty huge, so you want to be sure your AI isn't over-fitting.
Also the wider ecosystem of this is that you have to have a full software for editing and checking the notes that is compliant to local healthcare regulations, and standard interfaces into medical software. Also penetration into the healthcare market is notoriously hard.
I would imagine synergies in this space include things like Microsoft Teams being in a good place to take on remote consultations compared to Zoom et al, as you could have a seamless flow from consultation to record in the healthcare system and medically-accurate transcription.
elcomet|4 years ago
And if you use it to control medical devices, then transparency is not what matters. A protocol matters, like the machine repeating the commands and asking for confirmation.
Closi|4 years ago
The main difference in voice for these apps is an intentionally limited and specialised vocabulary, where you have to be pretty certain that they said aberrant rather than apparent, or anuresis rather than enuresis. A lack of humeral would mean you are lacking a particular fluid, while a lack of humerous would mean you are missing a bone. The difference between an apparent mole and an aberrant mole is pretty huge, so you want to be sure your AI isn't over-fitting.
Also the wider ecosystem of this is that you have to have a full software for editing and checking the notes that is compliant to local healthcare regulations, and standard interfaces into medical software. Also penetration into the healthcare market is notoriously hard.
I would imagine synergies in this space include things like Microsoft Teams being in a good place to take on remote consultations compared to Zoom et al, as you could have a seamless flow from consultation to record in the healthcare system and medically-accurate transcription.