Conversations on Applied AI Bongjun Kim - Sound Recognition and Audio Signal Processing with Machine Learning
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 working on a musical interface and interactive media art.
I love this quote from him, "You need to look at the data before you choose your model. Please review the images, audio, or video to make sure your assumptions are valid." Wise words from an expert. I also highly suggest you pick up a copy of the book he recommends called Learning From Data listed in the liner notes below. I've started reading it and have found it fascinating and insightful!
To connect with Bongjun, visit his personal website.
If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!
Resources and Topics Mentioned in this Episode
- Northwestern University
- Human in the Loop
- AI Driven Art
- Machine Learning
- Data Cleaning
- Supervised Learning
- Spectrogram
- Timbre
- Interactive Sound Event Detector
- Labeled Data
- Mechanical Turk
- Myers Briggs
- Weak Supervision
- Audio Set
- Creative Coding
- Arduino
- Teachable Machine
- ICASSP
- Book - Learning From Data
- Test-Driven Development
Enjoy!
Your host,
Justin Grammens