and apparently computer algorithms (ML/AI) could even much more,
from detecting is somebody is lying, intoxicated, physical features, health conditions...
With voice assistants now being available in as much as 70-90% of US homes,
this new research will create a whole new set of opportunities and challenges, soon...
Voice with Rita Singh | Software Engineering Daily (podcast interview)
"A sample of the human voice is a rich piece of unstructured data. Voice recordings can be turned into visualizations called spectrograms. Machine learning models can be trained to identify features of these spectrograms. Using this kind of analytic strategy, breakthroughs in voice analysis are happening at an amazing pace."
Advanced self-driving cars research originated at Carnegie Mellon University,
and spread to Stanford, Google and many other places. Apparently AI is advancing in other domains, too.
Forget Face ID. The Future of Secure Authentication Is Your Voice | Fortune
Forget Face ID. The Future of Secure Authentication Is Your Voice | Fortune