Bongjun Kim

Publications

Conference & Journal Papers

  • [link] Bryan Pardo, Mark Cartwright, Prem Seetharaman, and Bongjun Kim, “Learning to Build Natural Audio Production Interfaces,” Arts, Vol. 8, Issue 3, 2019.

  • [pdf] Fatemeh Pishdadian, Bongjun Kim, Prem Seetharaman, and Bryan Pardo, “Classifying non-speech vocals: Deep vs Signal Processing Representations,” Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) 2019.

  • [pdf] Bongjun Kim and Bryan Pardo, “Sound Event Detection Using Point-labeled Data,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2019.

  • [pdf] Bongjun Kim and Shabnam Ghaffarzadegan, “Self-supervised Attention Model for Weakly Labeled Audio Event Classification,” European Signal Processing Conference (EUSIPCO), 2019.

  • [pdf] Bongjun Kim and Bryan Pardo, “Improving Content-based Audio Retrieval by Vocal Imitation Feedback,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.

  • [pdf] Bongjun Kim, Madhav Ghei, Bryan Pardo, and Zhiyao Duan, “Vocal Imitation Set: a dataset of vocally imitated sound events using the AudioSet ontology,” Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), Surrey, UK, Nov. 2018.

  • [pdf] Bongjun Kim and Zafar Rafii, “Lossy Audio Compression Identification,” European Signal Processing Conference (EUSIPCO), Rome, Italy, Sept. 2018.

  • [pdf] Bongjun Kim and Bryan Pardo, “A Human-in-the-loop System for Sound Event Detection and Annotation,” ACM Transaction on Interactive Intelligent System (TiiS), Vol. 8, Issue 2, Article 13, July 2018.

  • [pdf] Bongjun Kim, “Leveraging User Input and Feedback for Interactive Sound Event Detection and Annotation,” Doctoral Consortium, ACM International Conference on Intelligent User Interfaces (IUI) 2018

  • [pdf] Bongjun Kim and Bryan Pardo, “I-SED: an Interactive Sound Event Detector,” ACM International Conference on Intelligent User Interface (IUI), Limassol, Cyprus, Mar. 2017

  • [pdf] Bongjun Kim and Bryan Pardo, “Speeding Learning of Personalized Audio Equalization,” International Conference on Machine Learning and Applications, Detroit, USA, Dec. 2014

  • [pdf] Bongjun Kim and Bryan Pardo, “Adapting Collaborative Filtering to Personalized Audio Production,” AAAI Conference on Human Computation and Crowdsourcing, Pittsburgh, USA, Oct. 2014

  • [pdf] Bongjun Kim and Woon Seung Yeo, “Probabilistic Prediction of Rhythmic Characteristics in Markov Chain-based Melodic Sequences,” International Computer Music Conference (ICMC) Aug. 2013.

  • [pdf] Seunghun Kim, Bongjun Kim, and Woon Seung Yeo, “IAMHear: A Tabletop Interface with Smart Mobile Devices using Acoustic Location,” Conference on Human Factors in Computing Systems (CHI) works in progress, Apr. 2013.

  • [pdf] Bongjun Kim and Woon Seung Yeo, “Interactive Mobile Music Performance with Digital Compass,” International Conference on New Interfaces for Musical Expression (NIME), Ann Arbor, USA, 2012.

  • [link] Kiejin Park, Minkoo Kang, and Bongjun Kim, “A Scheduling algorithm for Reducing FlexRay Message Response Time using Empty Minislots in Dynamic Segment,” Digest of Technical Papers, International Conference on Consumer Electronics (ICCE), USA, 2010.

  • [link] Minkoo Kang, Kiejin Park, and Bongjun Kim, “A Static Message Scheduling Algorithm for Reducing FlexRay Network Utilization,” IEEE International Symposium on Industrial Electronics, pp. 1287-1291, Seoul, Korea, 2009.

  • [link] Bongjun Kim and Kiejin Park, “Probabilistic Delay Model of Dynamic Message Frame in FlexRay Protocol,” IEEE Transaction on Consumer Electronics, Vol. 55, Issue 1, pp. 77-82, Feb. 2009.

  • [link] Bumjoo Park, Kiejin Park, and Bongjun Kim, “A Performance Isolation Mechanism Based on Fuzzy Technique for Web Server Loading Balancing,” The Institute of Electronics, Information and Communication Engineers Transactions on Communications, Vol.E92-B, No.4, pp. 1086-1093, Apr. 2009.

  • [link] Bongjun Kim and Kiejin Park, “Analysis of Frame Delay Probability in the FlexRay Dynamic Segment,” The 6th IEEE International Conference on Industrial Informatics, pp. 1519-1522, Daejeon, Korea, 2008.

  • [link] Minkoo Kang, Kiejin Park, and Bongjun Kim, “PDO Packing Mechanism for Minimizing CANopen Network Utilization,” The 34th Annual Conference of the IEEE Industrial Electronics Society, pp.1516-1519, Nov. 2008.

  • [link] Minkoo Kang, Kiejin Park, and Bongjun Kim, “Determining the Size of a Static Segment and Analyzing the Utilization of In-vehicle FlexRay Network,” Third International Conference on Convergence and Hybrid Information Technology, Vol. 2, pp.50-53, Nov. 2008.

Dissertation

  • [pdf] Bongjun Kim, “Sound Event Annotation and Detection with Less Human Effort,” PhD thesis, Northwestern University, Evanston, IL, USA, 2020.

Patents

  • [link] Zafar Rafii, Markus Cremer, and Bongjun Kim. “Methods, Apparatus and Articles of Manufacture to Identify Sources of Network Streaming Services,” US 10733998, August 2020.

  • [link] Zafar Rafii, Markus Cremer, and Bongjun Kim. “Methods and Apparatus to Perform Windowed Sliding Transforms,” US 10629213, April 2020.

Technical Reports

  • [pdf] Bongjun Kim, “Convolutional Neural networks with Transfer Learning for Urban Sound Tagging,” Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2019, Task5. (==> Placed 3rd out of 22 systems competing and 2nd in team rankings: Check the Leaderboard)

  • [pdf] Bongjun Kim, “Ensemble of Convolutional Neural Networks with Transfer Learning for Audio Classification,” Making Sense of Sounds Data Challenge 2018. (==> Placed 3rd out of 23 systems competing: Check the Leaderboard)