Bongjun Kim - Sound Recognition and Audio Signal Processing with Machine Learning

Bongjun Kim - Sound Recognition and Audio Signal Processing with Machine Learning

Author: Justin Grammens March 24, 2021 Duration: 45:53
If you ever wondered how Alexa, Siri, Google can be trained to recognize and process audio, this is the episode for you! In this episode, we speak with Bongjun Kim. Bongjun is an AI researcher at 3M. He completed his Ph.D. in Computer Science at Northwestern University and his research interests include Machine Learning, Audio Signal Processing (e.g. sound event recognition), interactive intelligent systems, multimedia information retrieval, and human-in-the-loop interfaces. He also enjoys wo...

Justin Grammens hosts Conversations on Applied AI, a podcast that moves past theoretical discussions to focus on the practical integration of artificial intelligence into our daily work and industries. Alongside the team at Emerging Technologies North, Justin sits down with practitioners and experts who are actively building and deploying AI and deep learning solutions. The dialogue in each episode centers on tangible use cases, exploring the challenges, ethical considerations, and measurable outcomes encountered when these technologies meet real-world problems. You'll hear concrete stories from the field, whether it's about optimizing a supply chain, improving diagnostic tools in healthcare, or transforming customer service interactions. This isn't about futuristic speculation; it's a grounded look at the tools and strategies that are making a difference right now. The goal is to provide listeners with insights that are directly applicable, offering a clearer understanding of how AI functions outside the lab and within the complexities of actual business environments. Tune in for a straightforward, no-hype conversation that demystifies applied artificial intelligence and highlights the human expertise behind its implementation.
Author: Language: en-us Episodes: 100

Conversations on Applied AI
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