The big idea here is real-time speech synthesis for vocal prosthesis.
But the implications could go much further.
Songbirds are an attractive model for learned complex vocal behavior.
It’s free, every week, in your inbox.
But translating vocalizations in real-time is no easy challenge.
Current state-of-the art systems are slow compared to our natural thought-to-speech patterns.
Think about it: cutting-edge natural language processing systems struggle to keep up with human thought.
In the grand scheme, its amazing that these cloud-based systems work as fast as they do.
So the researchers trained another system to reduce real-time songs down to recognizable patterns the AI can work with.
Quick take:This is pretty cool in that itdoesprovide a solution to an outstanding problem.
Processing birdsong in real-time is impressive and replicating these results with human speech would be a eureka moment.
But, this early work isnt ready for primetime just yet.
Read the whole paperhere.
