Deep Learning-Based Natural Language Understanding to Cars

Drivers increasingly interact with their cars using inter alia: voice and natural language to increases safety and productivity.

The momentum is global and progressively mature so that, drivers can interact now with more than 100 domains and programs that provide relevant information or actions related to their queries. These include, among other applications: directions, weather, stock prices, sports scores, flight status, local business searches, and hotel searches with complex criteria. They can also control a car’s systems, such as heating/cooling, rolling the windows up and down, playing music, or accessing a phone.
 
Henceforth, SoundHound Inc.®, (sound recognition and voice search technologies) today collaborate with NVIDIA to create a large-vocabulary, hybrid voice and natural language understanding interface for in-vehicle infotainment systems that is based on deep learning. 

DigitalEcono salutes this dynamic that can help drivers increase safety and productivity, and streamline their entertainment.