TLDR:
- AI meets opera in a new blended class at CMU
- Insights on music and flow were gathered from the class
AI and opera may seem like an unlikely pair, but at Carnegie Mellon University, they came together in a new blended class that yielded interesting insights on music and flow. The class focused on using artificial intelligence to analyze opera performances and understand the emotional impact they have on audiences.
Students in the class learned how to use AI tools to analyze music and vocal performances, as well as the staging and lighting of opera productions. They were able to identify patterns in the data that correlated with audience reactions, helping them to better understand how music and emotion intertwine in a live performance.
One of the key takeaways from the class was the importance of flow in opera performances. Flow refers to the feeling of being completely absorbed in an activity, and the students found that performances that had a consistent flow tended to be more successful in engaging audiences.
The students also discovered that the use of AI in analyzing opera performances could help to enhance the overall impact of a production. By understanding the emotional nuances of a performance, opera companies can make more informed decisions about staging, lighting, and music choices.
Overall, the class at CMU highlighted the potential for AI to revolutionize the world of opera and music. By using sophisticated analytical tools, opera companies can gain new insights into how to create performances that resonate with audiences on a deeper emotional level.