Building a Controlled Lab
To ensure data collection was authentic to the client’s real-world use cases, we designed and built three dedicated recording environments to mimic enterprise setups, from small huddle rooms to large boardrooms. Each room featured different acoustic conditions and used a variety of top-market devices to capture authentic data for the client's AI models.
Finding the Right Voices for Data Diversity
We knew that to build an inclusive AI, we needed diverse voices. Our team recruited over 170 speakers across multiple locations. We started in Las Vegas but expanded to Bangkok to capture underrepresented accents, which also helped us reduce costs and accelerate the project timeline. The project’s success also opened the door to collecting data in new languages.
Managing the Details Onsite
To guarantee a consistent data collection process, and high-quality output, Acolad deployed onsite teams to manage everything from device troubleshooting to participant care. Our end-to-end coordination ensured every session - and the project overall - stayed on track.
Ensuring Data Quality
Delivering high-quality data wasn't just about recording it; it was also about rigorous validation. All captured content was reviewed and processed through human-led workflows to ensure transcription quality and metadata consistency. This rigorous quality control helped ensure training data reliability, enabling the client to test voice performance under varied conditions and optimize their AI algorithms accordingly.
