All sound-activated machine learning systems, from virtual assistants to car navigation systems, rely on diverse, bias-free, high-quality speech data. Leveraging our diverse global data workforce through our proprietary platform, we collect, create, and annotate multilingual speech data to build and optimize your voice-based AI models.
Eliminating bias in AI is tightly tied to the diversity of representation in the dataset. When it comes to speech data, the areas where diversity must be maintained are expanding. Unlock access to a community of 100K+ qualified in-country speakers of various ages, backgrounds, and accents capable of creating speech data for a wide range of use cases.
Automatic speech recognition