Technology Generative AI
Studio-Based Audio Data Collection for Generative AI Model Training
The Challenge
An EU-based technology company developing large language models was preparing to launch a new AI model with advanced audio and speech capabilities. To support its training and development, the company required a high-quality audio dataset recorded in a controlled, professional studio environment.
With less than four days to secure a suitable recording facility, the project required rapid mobilization without compromising technical or quality standards. DataForce needed to coordinate studio sourcing, recording operations, engineering resources, quality assurance, and contingency voice talent within a single workflow.
Key requirements included:
- The current action performed by each robotic arm
- The objective of that action
- Block attributes and sub-tasks
• • • •Our Solution• • • •
DataForce leveraged our network of professional recording studios in Europe to quickly identify facilities that met the project’s technical requirements. The company evaluated the shortlisted studios before selecting its preferred recording environment. Once the studio was selected, we rapidly assembled a dedicated project team comprising a project manager, voice engineer, project coordinators, and quality assurance specialists. Together, they managed scheduling, recording operations, technical requirements, and final dataset review.
The company supplied its own voice actors for the recordings. In parallel, DataForce made our broader network of professional voice talent available as a contingency in case replacements or additional talent were required. Recording sessions used high-end equipment and were supported by experienced voice engineering professionals. Quality assurance was integrated throughout the workflow to verify that each recording met the required specifications before delivery.
The Results
DataForce secured a suitable professional recording studio in less than four days and delivered the completed audio dataset on schedule.
The project delivered:
- Professional, high-quality audio capture suitable for AI model training
- Dedicated project management, engineering, coordination, and QA support
- Contingency access to professional voice talent
By rapidly mobilizing the studio, technical resources, and project team, DataForce helped keep development on schedule while meeting the quality standards required for the company’s new AI model.