The automotive industry is experiencing an enormous business opportunity with the rise of the autonomous, self-driving and connected car.
This growing trend stems from not only the industry’s drive to incorporate technology, but also from evolving consumer expectations. As more consumers rely on virtual assistants in their phones or at home, there are increasingly high expectations for a similar experience in cars.
This is an exciting time for auto manufacturers to differentiate. With the right technology and training data, automakers can allow a consumer to not just drive a car but be part of an integrated experience, seamlessly moving from A to B.
Machine learning is currently being used to enhance a variety of use cases including:
Autonomous vehicles
While self-driving cars are extremely complex machines, their Artificial Intelligence (AI) is powered by machine learning. As the car moves forward, it processes a lot of visual data —just like a driver does when looking out the windshield. Vehicles need to assign meaning to large volumes of image data, such as identifying a tree or pedestrian, and then feed that back into the car’s AI to teach it.
Voice recognition
Traditional dashboards—and more recently, mobile devices—take a driver’s hands and eyes off the road. Speech interfaces don’t. Connected cars need access to large-scale speech data collections to train the speech interface, providing consumers around the world with the best in-car infotainment experience.
Predicting behavior
Advances in voice recognition and cameras that can help track driver emotions are an important next step in Human Machine Interface, giving cars the ability to identify speakers’ emotions as well as their words—so they can tell when users get frustrated, and respond accordingly.
With the unstoppable global demand for a better in-car experience, you need a partner with an established global track record to help you train and test your machine learning and AI systems most effectively.
How we help
We’ve spent the last 15 years developing our expertise in the automotive industry, working with leading Tier 1 suppliers and 6 of the top 10 global OEMs, with support for 35+ languages.
With an experienced team now located in Detroit, Appen has the resources on the ground to accelerate your product development and testing workflow.
We develop data for the automotive industry to improve self-driving vehicles, enhance voice recognition, analyze sentiment, and more.
We help you enhance the following solutions
- Automatic Speech Recognition
Improve customer interactions with Automatic Speech Recognition systems by training them to better understand human language.
- In-car Infotainment
Ensure your in-car infotainment system provides the best user experience with high quality training data and testing.
- In-car Navigation
Train your in-car navigation system with high quality data to ensure customers get where they need to go.
- Text-to-Speech
Improve customer interactions with TTS systems that are fluent in every language.
- Virtual Assistants and Chatbots
Train your virtual assistant or chatbot to better understand and respond to human interaction, driving higher levels of customer satisfaction.
Additional resources
How a Tier 1 Automotive Software Provider Creates Smarter, More Natural In-Car Infotainment Systems
For an in-car infotainment system — or any ASR system — to recognize and correctly process voice commands, it must be trained on speech data that accounts for a broad range of inputs and all possible variation in how people speak.
How a Top Automotive OEM Localizes Its In-Car Experience with Appen
The Situation With the proliferation of mobile devices, consumers expect to stay connected, no matter where they are — especially in their car. Voice recognition in cars, however, continues to be the leading complaint among new vehicle owners. Global automotive manufacturers recognize the demand for better connectivity but face added complexities associated with localizing in-car systems for multiple languages. Data …
Machine Learning Adoption by Industry
As artificial intelligence and machine learning become a greater part of the business landscape, it’s interesting to see how different vertical industries are putting it to use. How does healthcare compare to the technology sector? Do geography and location play a role? To answer some of these questions, I caught up with our own Stephen Woodard from our business development …