According to the report of Gasgoo Automotive Research Institute, smart cockpits will integrate more intelligent and digital functions, which will greatly increase the value of vehicles. The Chinese market is expected to reach a scale of 100 billion Yuan in 2030. As an indispensable part of the intelligent cockpit, the in-vehicle voice interaction system is the most direct, humane, and safest interaction method in the vehicle. With the enhancement of AI software and hardware performance, it will become the most important in-vehicle interaction method in the future.

At present, the voice interaction solutions provided by most automotive manufacturers are to interact through the combination of touch screen and partial voice. Different voice solutions are built in different applications on the screen, which also brings a lot of inconvenience to operation.

Previously, most of the front-end voice interaction functions provided by traditional manufacturers used command control. Users need to interact according to specified commands, and machines are not able to understand semantics. The interaction is mechanized, resulting in a single function and a single command word for the entire system.

In addition, although the accuracy of speech recognition has reached a high level, the user is an independent individual rather than a robot after all, and “slips of the tongue” may occur at times. Therefore, there is great uncertainty in voice interaction. Due to the lack of a system that adapts to the user’s voice habits, normal interaction cannot be achieved.

As a world’s leading AI data services provider, Nexdata is committed to providing high-quality AI data products and services and has realized the ability for large-scale data processing based on ML-assisted technology. In the field of in-car voice interaction, Nexdata has off-the-shelf 200,000 hours of speech data sets covering multiple devices, types, environments and languages, which quickly help customers to improve the accuracy of speech recognition models.

English Speech Data

Nearly 35,000 hours English speech data, which is collected from native speakers in 20 countries, covering a variety of pronunciation habits and characteristics, accent severity, and even distribution of speakers in regions.

Spanish Speech Data

Nearly 3,000 hours Spanish speech data, the data is recorded by native speakers from Spain, Mexico, Columbia, Venezuela etc. The recorded script is designed by linguists and cover a wide range of topics including generic, interactive, in-vehicle and home.

German Speech Data

Nearly 3,000 hours German speech data, the data is recorded by German native speakers. The recorded text is designed by linguistic experts, covering generic, interactive, on-board, home and other categories.

French Speech Data

Nearly 1,800 hours French speech data, the data is recorded by native speakers from France, Canada and Africa. The recording text is designed by linguistic experts, which covers general interactive, in-car and home category.

Korean Speech Data

Nearly 2,000 hours Korean speech data, recorded by Korean native speakers. The recordings include economics, entertainment, news, oral, figure, letter.

Japanese Speech Data

Nearly 1,000 hours Japanese speech data, the data is recorded by native Japanese speakers. The recorded script is designed by linguists and cover a wide range of topics including generic, interactive, in-vehicle and home.

If the above data cannot meet the needs of your current research, Nexdata also provides data customization services for specific groups of people, specific scenarios, and specific languages to meet customers’ diversified data needs.

End

If you need data services, please feel free to contact us: info@nexdata.ai