Transcript: Building Production Audio AI with Agents, Automated Transcription & Diarization

In the Encord webinar focused on building production audio AI, hosts Diarmuid and Merrick discuss the challenges and solutions associated with processing audio data, such as transcription and speaker diarization, using Encord's platform. Audio data, characterized by its complexity due to factors like background noise and overlapping speech, requires precise labeling to ensure model accuracy, which can be time-consuming and costly. Encord addresses these challenges through its offerings in curation, annotation, and active pipelines, which help teams manage large audio datasets, add detailed labels, and continuously refine models by feeding back corrections. The platform's automation tools, including the Agents Catalog, allow for efficient plug-and-play operations, reducing repetitive errors and improving workflows without the need for deep technical expertise. The webinar also highlights Encord's use of advanced models and workflows to enhance audio data processing and the importance of a system that learns from corrections to improve over time.