Applications
Automotive Virtual Assistants
Automotive Virtual Assistants

Driver’s attention is very important on the road. Hence, touch screen in-vehicle interaction cannot optimize driver’s experience. It causes inconvenience for drivers to operate extensive touch screen navigation or view content on a screen. In this case, the advantages of using virtual assistants are apparent. These in-car infotainment systems can help complete tasks safely while driving. In order to run these systems smoothly, you need a significant amount of reliable training data.

Challenges
  • The high noise volume and diverse sound sources: noises arose from engine, air conditioner, as well as the sound of wind, rain outside the car affect the performance of in-car infotainment system
  • The adverse environment: the vehicle interior structure and decoration will change the acoustic environment
  • Multiple speakers: the demographic distribution is wide, and it is difficult to identify the appropriate person inside the car actually interacting with it while driving
Solutions

We provide a wide range of training data, such as commands datasets and interaction datasets. These datasets were collected from real-world scenarios, covering different languages, dialects, genders, and ages. Specifically, we record in-vehicle noise datasets as well, since it also impacts recognition. We ensure the consistency and stability through our strict criterion for speakers, recording environments, devices, annotation specification, acceptance inspection, etc.

Services
  • In-vehicle noise collection
  • Commands collection within various vehicles
  • Available datasets recorded in different languages
  • Speech collection of near and far fields by various of recording devices
Outcomes

We have delivered single language and multiple languages datasets to leading automotive customers. These customized datasets assist our customers to enhance in-car infotainment systems, so that they can operate smoothly even in adverse environments.

Our Strength
  • Capable to cover more than 50 languages and dialects for audio recording and annotation services
  • Valuable datasets that could be used to train your models immediately
  • Collection specifications that can be customized to meet actual needs
  • Efficient reaction, more than 300,000 global speakers can provide recording service
  • Quality-focused management system, ensuring high-quality datasets and services
Use Cases
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