Explore the world of AI and scripting with Links Hall's Production Manager and Associate Curator, Giau Truong. In this workshop, you will learn innovative ways to automate subtitles and closed captions in QLab.
You will learn:
- Foundations of AI Prompting: Explore the principles of AI-generated prompts and their application in real-time subtitle creation.
- AppleScript Essentials: Discover how AppleScript can streamline processes within macOS applications like QLab, making your workflow more efficient.
- Collaborative Integration: Exchange ideas and collaborate on integrating AI outputs with QLab using AppleScripts to produce seamless captions during live events.
- Hands-on Experience: Participate in practical exercises where you will create, refine, and implement your own subtitles in a live QLab environment.
- Knowledge Sharing: Engage in discussions on advanced scripting techniques, sharing tips and insights to enhance subtitle timing, appearance, and customization.
Who should attend?
This workshop is designed for creative professionals eager to learn and share knowledge on integrating automated text overlays in their multimedia projects. Ideal for those looking to push the boundaries of live performance technology and improve audience accessibility.
Outcome
Participants will leave this workshop with an understanding of how AI and AppleScript can revolutionize subtitles and closed captions in QLab. Equipped with new skills and collaborative insights, you’ll be ready to implement sophisticated text solutions that enrich every performance.
What to bring?
If you have a laptop, bring it. If not we will have three onsite for people to play with.
About the Instructor
Giau Minh Truong (he/him) is Links Hall's Production Manager and Associate Curator. He was born in Vietnam and lived in a refugee camp with his family for two years in Indonesia before arriving in the USA in 1982. Giau oversees Links Hall’s production and technical needs for artists and performances, maintains Studio A performance space, and does curatorial work focusing on developing use of tech in performance.
