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In-Cabin Voice Recognition

From:Nexdata Date:2024-04-02

The Challenge


In order to keep up with the industry's growth, the company faced the task of developing over 20 types of multilingual speech recognition data. As the demand for industry content increased year after year, automakers were under pressure to address the major complaint of vehicle ownersthe in-cabin voice recognition system. Implementing localization of in-vehicle systems was a crucial issue faced by automakers worldwide. The complexity of managing multiple languages posed a challenge for car company teams, as they lacked the necessary language background to handle and manage large volumes of linguistic data. The collection of speech data had to be entrusted to a technology company with deep language expertise.




As an experienced automotive solution provider, we offered a comprehensive range of services for localized data collection, testing, and validation. Our professional team worked closely with automotive engineering teams to implement and optimize solutions that met the high-quality training data requirements for all target languages. Additionally, our extensive resources enabled us to recruit a large number of local native speakers who could record various environmental languages, ensuring guaranteed output of data quality and quantity.


To enhance the accuracy and naturalness of speech in driver command scenarios, our professional Text-to-Speech (TTS) service provided evaluation services during data collection.


Furthermore, our years of industry experience and our dedicated language team, along with our AI intelligence center, enabled us to offer professional guidance throughout the implementation process. This ensured expertise in language localization and other multifaceted capabilities while maintaining consistency with various language standards. We supported the entire team in handling a significant volume of localization work.




Through our collaboration, the car manufacturer's team efficiently worked alongside our experienced team, focusing on improving core stages of system development, expanding their data collection capabilities, and ensuring high-quality data annotation. This collaborative approach effectively addressed their needs and mitigated potential issues. With our solution in place, the company successfully advanced their plans to develop a comprehensive multilingual speech recognition system, thereby expanding into new market opportunities.