Challenge
A parliamentary institution faced the significant challenge of accurately transcribing legislative sessions conducted in a language spoken by just over 100,000 people. Without existing automated transcription solutions tailored to this unique language, parliamentary staff were forced to rely entirely on manual transcription. This manual process was slow, resource-intensive, and limited timely access to critical legislative records, raising concerns around accessibility and efficiency.
Solution
To tackle this challenge, we implemented an AI-powered transcription system designed to meet the immediate needs of the parliamentary institution. Using a general speech recognition model enhanced with advanced audio processing techniques—such as silence and music removal—and speaker diarization, we achieved clear, structured, and reliable transcripts rapidly. Additionally, we integrated Retrieval-Augmented Generation (RAG) technology to improve contextual accuracy, providing high-quality automated transcription without the need for immediate custom training.
Future phases will introduce tailored training data and human oversight mechanisms to elevate accuracy even further.
Business Value
The deployment of this innovative solution delivered immediate, measurable impact. Manual transcription processes that previously took days have now been reduced to mere hours, significantly improving efficiency and accessibility. This project also provides compelling proof that cutting-edge AI technology can successfully address transcription challenges for languages typically underserved by mainstream technology solutions. It has established a replicable framework for other organizations, proving that AI-driven transcription is achievable and practical for every language—no matter how many people speak it.
Interested in how AI transcription can support your language needs? Download the full case study to learn more.
