Case Study: Leading Vehicle Electronics Software Company achieves smarter, more natural in-car voice recognition and rapid multilingual expansion with Appen

We provided services to collect natural language data and text data, covering all the scenarios and variation that the system might encounter in the real world

Leading Vehicle Electronics Software Company engaged Appen to collect audio and linguistic data to train automatic speech recognition (ASR) for its in-car infotainment system. The challenge was to capture the countless verbal commands drivers might use across many dialects and speaker types, producing thousands of high-quality utterances per target language while meeting strict, consistent audio-recording standards.

Appen delivered natural language and text data collection using in-market crowds, scripted and spontaneous speech, test-driving simulations, and country-specific studio recording with supervised quality controls. As a result, Appen enabled rapid expansion of the ASR system into 20+ new languages, ensured audio-quality compliance across 40+ languages, and supplied spontaneous, real-world speech data that improved the system’s ability to recognize natural driver responses.