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CloseFINANCIAL TIMES: DIGITIZED CAR CABIN OF THE FUTURE
Technology features are emerging as top criteria while making car purchase decisions—customers are expecting it and automakers are gaining competitive edge delivering it. People are becoming increasingly accustomed to digital assistants and experiences at home and office, and are thus looking for the same levels of digitization and personalization in an in-cabin experience. Massive changes are expected in the in-cabin experience to make the car a digital extension of oneself, basically a computer on wheels opening up a plethora of applications and use-cases.
With the growing number of screens and the desire to integrate even more immersive technology in the car, avoiding driving distractions and maintaining occupant safety must be the focus. Though autonomous driving has the advantage of mitigating driver distraction in the longer term, in the short to medium term, voice commands and thus voice recognition technology will be essential to solve these challenges by becoming the main modality of interaction with the car. Deploying voice recognition technology in a car demands the highest levels of accuracy, security, and authentication, all in an environment that presents unique challenges.
Explore this conversation, in which Andy McLean details ADI’s perspective on tackling the system-level challenges essential to realize the in-cabin experience of the future.
Featured Participants:
- Andy McLean, VP of Automotive Cabin Experience, Analog Devices
- Peter Campbell, Global Motor Industry Correspondent, Financial Times
Featured Video Segments:
- Car Cabin of the Future
- Driving Safety in an Immersive Car Cabin
- Challenges with Deploying Voice Recognition Technology in an EV
Car Cabin of the Future
Driving Safety in an Immersive Car Cabin
Challenges with Deploying Voice Recognition Technology in an EV
The EV cabin offers a unique environment—getting rid of some noises while exposing other noises previously masked by the Internal Combustion engine. To deploy accurate and reliable voice control systems under such noise conditions, a dedicated approach toward voice preprocessing, security, authentication, and identification is required.