Case Study: India’s pioneering AI product lab achieves 1,200 hours of multilingual audio annotation with Shaip

a pioneering AI product lab annotates 1,200 hours of audio in 10 weeks with Shaip

India’s pioneering AI product lab faced a significant challenge in sourcing expert linguists and data annotators to create high-quality training data for its AI-powered speech processing engine. The lack of access to skilled resources for Indian languages, coupled with stringent requirements for 95%+ accuracy and a tight 10-week deadline, hindered their progress. They turned to the vendor, Shaip, for its audio transcription and annotation services to overcome this bottleneck.

Shaip leveraged a team of expert linguists to transcribe and annotate 1,200 hours of audio across six Indian languages, delivering the data in JSON format within the required timeline. This high-quality, annotated dataset enabled the client to accurately train their multilingual conversational AI engine. The solution provided by Shaip resulted in a production-ready speech system capable of understanding Indian English, Hindi, Tamil, Telugu, Kannada, and Malayalam, ultimately allowing the client to offer robust voice AI products tailored for the Indian market.