I believe what makes the voices robotic is due to the little amount of audio they need to generate a "usuable" voice from the system.
Speech models usually use triphones, which turns out to be a huge amount of audio. This is particularly impressive because of how little data they need.
Google used their own datasets, which are most likely massive.
Speech models usually use triphones, which turns out to be a huge amount of audio. This is particularly impressive because of how little data they need.
Google used their own datasets, which are most likely massive.