Publications

You can also find my articles on my Google Scholar profile.

Conference Publications (Peer-reviewed)

• Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J. Han, and Katrin Kirchhoff.
  SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models.
  Findings of the Association for Computational Linguistics ACL 2024, pages 10,018–10,035.

• Tyler Vuong, Karel Mundnich, Dhanush Bekal, Veera Raghavendra Elluru, Srikanth Ronanki, Sravan Bodapati.
  AdaBERT-CTC: Leveraging BERT-CTC for text-only domain adaptation in ASR.
  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track.

• Dhanush Bekal, Karthik Gopalakrishnan, Karel Mundnich, Srikanth Ronanki, Sravan Bodapati, Katrin Kirchhoff.
  A metric-driven approach to conformer layer pruning for efficient ASR inference.
  In Proceedings of Interspeech 2023, pages 4079–4083.

• Karel Mundnich, Alexandra Fenster, Aparna Khare, and Shiva Sundaram.
  Audiovisual highlight detection in videos.
  In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

• Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M Booth, Shrikanth S Narayanan, and Theodora Chaspari.
  Group-specific models of healthcare workers’ well-being using iterative participant clustering.
  In 2020 Second International Conference on Transdisciplinary AI (TransAI), pages 115–118. IEEE, 2020.
  [data]

• George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, and Theodora Chaspari.
  Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions.
  In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 284–287. IEEE, 2020.
  [data]

• Jiaxi Wang, Karel Mundnich, Allison T. Knoll, Pat Levitt, and Shrikanth Narayanan.
  Bringing in the outliers: A sparse subspace clustering approach to learn a dictionary of mouse ultrasonic vocalizations.
  In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3432–3436, 2020.
  [data] [code]

• Timothy Greer, Karel Mundnich, Matthew Sachs, and Shrikanth Narayanan.
  The role of annotation fusion methods in the study of human-reported emotion experience during music listening.
  In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 776–780, 2020.

• Karel Mundnich, Benjamin Girault, and Shrikanth Narayanan.
  Bluetooth based indoor localization using triplet embeddings.
  In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 7570–7574, 2019.
  [code]

• Brandon M. Booth, Karel Mundnich, and Shrikanth Narayanan.
  Fusing Annotations with Majority Vote Triplet Embeddings.
  In Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, AVEC’18, pages 83–89. ACM, 2018.
  Winner of the AVEC 2018 Gold-standard Emotion sub-challenge.

• Brandon M. Booth, Karel Mundnich, and Shrikanth Narayanan.
  A Novel Method for Human Bias Correction of Continuous-time Annotations.
  In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 3091–3095.
  [data]

• Karel Mundnich, Md Nasir, Panayiotis Georgiou, and Shrikanth Narayanan.
  Exploiting Intra-annotator Rating Consistency through Copeland’s Method for Estimation of Ground Truth Labels in Couples’ Therapy.
  In Proceedings of Interspeech 2017, pages 3167–3171, 2017.
  

Journal Publications

• Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M Booth, Shrikanth S Narayanan, Theodora Chaspari
  Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers.
  Frontiers in Digital Health 5 (2023): 1195795.
  [data]

• Joanna Yau, Benjamin Girault, Tiantian Feng, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Kristina Lerman, Emilio Ferrara, Eric Hsieh, and Shrikanth Narayanan.
  TILES-2019: A longitudinal physiological and behavioral data set of medical residents in an intensive care unit.
  Sci Data, 9(536), 2022.
  [data] [code]

• Arindam Jati, Amrutha Nadarajan, Raghuveer Peri, Karel Mundnich, Tiantian Feng, Benjamin Girault, and Shrikanth Narayanan.
  Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction.
  IEEE/ACM Transactions on Audio, Speech and Language Processing, 29:756–769, 2021.
  [data]

• Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, and Theodora Chaspari.
  Investigating Group-Specific Models of Hospital Workers’ Well-Being: Implications for Algorithmic Bias.
  International Journal of Semantic Computing, 14(4):477-499, 2020.
  [data]

• Karel Mundnich, Brandon M. Booth, Michelle L’Hommedieu, Tiantian Feng, Benjamin Girault, Justin L’Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L. Villatte, Kristina Lerman, Emilio Ferrara, and Shrikanth Narayanan.
  TILES-2018, a longitudinal behavioral and pyshiologic dataset of hospital workers.
  Sci Data, 7(354), 2020.
  [data] [code]

• Karel Mundnich, Brandon M. Booth, Benjamin Girault, and Shrikanth Narayanan.
  Generating Labels for Regression of Subjective Constructs using Triplet Embeddings.
  Pattern Recognition Letters, 128:385–392, 2019.
  [data] [code]

• Brandon M Booth^∗, Karel Mundnich^∗, Tiantian Feng^∗, Amrutha Nadarajan, Tiago H. Falk, Jennifer L. Villatte, Emilio Ferrara, and Shrikanth Narayanan.
  Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management.
  J Med Internet Res, 21(8):e12832, Aug 2019.
  ^∗ denotes equal contribution.

• Karel Mundnich and Marcos E. Orchard.
  Early Online Detection of High Volatility Clusters using Particle Filters.
  Expert Systems with Applications, 54:228–240, 2016.
  This paper was the results of my Electrical Engineering thesis at U. de Chile.
  

• Karel Mundnich, Marcos E. Orchard, Jorge F. Silva, and Patricio Parada.
  Volatility Estimation of Financial Returns using Risk-Sensitive Particle Filters.
  Studies in Informatics and Control, 22(3):297–306, September 2013.
  

• Federico Flores, Roberto Rondanelli, Marcos Díaz, Richard Querel, Karel Mundnich, Luis Alberto Herrera, Daniel Pola, and Tomás Carricajo.
  The Life Cycle of a Radiosonde.
  Bulletin of the American Meteorological Society, 94(2):187–198, 2013.