Publications

You can find a full list of my publications on my Google Scholar profile. I have highlighted a few relevant papers here.

Patents

  1. Narayanan, S., Palacios, V. M., Ramakrishna, A., Somandepalli, K., Malandrakis, N., & Singla, K. (2019). Linguistic analysis of differences in portrayal of movie characters.

Journal Publications

  1. Elmaghrabi, S., Nahmias, M. J., Adamo, N., Di Martino, A., Somandepalli, K., Patel, V., McLaughlin, A., De Sanctis, V., & Castellanos, F. X. (2020). Is Increased Response Time Variability Related to Deficient Emotional Self-Regulation in Children With ADHD? Journal of Attention Disorders, 24(7), 1045–1056.
  2. Somandepalli, K., Kumar, N., Guha, T., & Narayanan, S. S. (2018). Unsupervised Discovery of Character Dictionaries in Animation Movies. IEEE Transactions on Multimedia, 20(3), 539–551.
  3. Töger, J., Sorensen, T., Somandepalli, K., Toutios, A., Lingala, S. G., Narayanan, S., & Nayak, K. (2017). Test–retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging. The Journal of the Acoustical Society of America, 141(5), 3323–3336.
  4. Yoncheva, Y. N., Hardy, K. K., Lurie, D. J., Somandepalli, K., Yang, L., Vezina, G., Kadom, N., Packer, R. J., Milham, M. P., Castellanos, F. X., & others. (2017). Computerized cognitive training for children with neurofibromatosis type 1: A pilot resting-state fMRI study. Psychiatry Research: Neuroimaging, 266, 53–58.
  5. Bennett, R. H., Somandepalli, K., Roy, A. K., & Di Martino, A. (2017). The neural correlates of emotional lability in children with Autism spectrum disorder. Brain Connectivity, 7(5), 281–288.
  6. Yoncheva, Y. N., Somandepalli, K., Reiss, P. T., Kelly, C., Di Martino, A., Lazar, M., Zhou, J., Milham, M. P., & Castellanos, F. X. (2016). Mode of anisotropy reveals global diffusion alterations in attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 55(2), 137–145.
  7. Somandepalli, K., Kelly, C., Reiss, P. T., Zuo, X.-N., Craddock, R. C., Yan, C.-G., Petkova, E., Castellanos, F. X., Milham, M. P., & Di Martino, A. (2015). Short-term test–retest reliability of resting state fMRI metrics in children with and without attention-deficit/hyperactivity disorder. Developmental Cognitive Neuroscience, 15, 83–93.
  8. Di Martino, A., Somandepalli, K., Zhao, Y., Brown, H., Petkova, E., Castellanos, F., & Milham, M. (2015). State Matters? Intrinsic Brain Function in Children with Autism Awake and Asleep. Neuropsychopharmacology, 40, S293–S294.

Preprint

  1. Sharma, R., Somandepalli, K., & Narayanan, S. (2020). Crossmodal learning for audio-visual speech event localization. ArXiv Preprint ArXiv:2003.04358.
  2. Somandepalli, K., & Narayanan, S. (2020). Generalized Multi-view Shared Subspace Learning using View Bootstrapping. ArXiv Preprint ArXiv:2005.06038.
  3. Somandepalli, K., Hebbar, R., & Narayanan, S. (2020). Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos. ArXiv Preprint ArXiv:2008.11289.
  4. Martinez, V. R., Somandepalli, K., Singla, K., Ramanakrishna, A., Uhls, Y. T., & Narayanan, S. (2020). Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts. ArXiv Preprint ArXiv:2008.08225.
  5. Somandepalli, K., Kumar, N., Travadi, R., & Narayanan, S. (2019). Multimodal representation learning using deep multiset canonical correlation. ArXiv Preprint ArXiv:1904.01775.
  6. Somandepalli, K., Kumar, N., Jati, A., Georgiou, P., & Narayanan, S. (2019). Multiview Shared Subspace Learning Across Speakers and Speech Commands. Proc. Interspeech 2019, 2320–2324.

Conference Publications

  1. Peri, R., Pal, M., Jati, A., Somandepalli, K., & Narayanan, S. (2020). Robust speaker recognition using unsupervised adversarial invariance. ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6614–6618.
  2. Martinez, V. R., Somandepalli, K., Uhls, Y. T., & Narayanan, S. (2020). Joint Estimation and Analysis of Risk Behavior Ratings in Movie Scripts. EMNLP 2020.
  3. Hebbar, S. A., Sharma, R., Somandepalli, K., Toutios, A., & Narayanan, S. (2020). Vocal Tract Articulatory Contour Detection in Real-Time Magnetic Resonance Images Using Spatio-Temporal Context. ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 7354–7358.
  4. Peri, R., Li, H., Somandepalli, K., Jati, A., & Narayanan, S. (2020). An empirical analysis of information encoded in disentangled neural speaker representations. Speaker Odyssey.
  5. Somandepalli, K., & Narayanan, S. (2019). Reinforcing Self-expressive Representation with Constraint Propagation for Face Clustering in Movies. ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4065–4069.
  6. Martinez, V. R., Somandepalli, K., Singla, K., Ramakrishna, A., Uhls, Y. T., & Narayanan, S. (2019). Violence rating prediction from movie scripts. Proceedings of the AAAI Conference on Artificial Intelligence, 33, 671–678.
  7. Nadarajan, A., Somandepalli, K., & Narayanan, S. S. (2019). Speaker agnostic foreground speech detection from audio recordings in workplace settings from wearable recorders. ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6765–6769.
  8. Hebbar, R., Somandepalli, K., & Narayanan, S. (2019). Robust speech activity detection in movie audio: Data resources and experimental evaluation. ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4105–4109.
  9. Sharma, R., Somandepalli, K., & Narayanan, S. (2019). Toward Visual Voice Activity Detection for Unconstrained Videos. 2019 IEEE International Conference on Image Processing (ICIP), 2991–2995.
  10. Martinez, V. R., Flemotomos, N., Ardulov, V., Somandepalli, K., Goldberg, S. B., Imel, Z. E., Atkins, D. C., & Narayanan, S. (2019). Identifying Therapist and Client Personae for Therapeutic Alliance Estimation. Proc. Interspeech 2019, 1901–1905.
  11. Somandepalli, K., Martinez, V., Kumar, N., & Narayanan, S. (2018). Multimodal representation of advertisements using segment-level autoencoders. Proceedings of the 20th ACM International Conference on Multimodal Interaction, 418–422.
  12. Hebbar, R., Somandepalli, K., & Narayanan, S. S. (2018). Improving Gender Identification in Movie Audio Using Cross-Domain Data. INTERSPEECH, 282–286.
  13. Somandepalli, K., Toutios, A., & Narayanan, S. S. (2017). Semantic Edge Detection for Tracking Vocal Tract Air-Tissue Boundaries in Real-Time Magnetic Resonance Images. Interspeech, 631–635.
  14. Toutios, A., Sorensen, T., Somandepalli, K., Alexander, R., & Narayanan, S. S. (2016). Articulatory Synthesis Based on Real-Time Magnetic Resonance Imaging Data. Interspeech, 1492–1496.
  15. Somandepalli, K., Gupta, R., Nasir, M., Booth, B. M., Lee, S., & Narayanan, S. S. (2016). Online affect tracking with multimodal kalman filters. Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 59–66.
Older publications
  1. Somandepalli, K. (2017). Predicting race from face for movie data.
  2. Bhat, V. H., Krishna, S., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2011). Steganalysis of Perturbed Quantization using HBCL Statistics and FR Index. International Conference on Information Intelligence, Systems, Technology and Management, 51–60.
  3. Bhat, V. H., Rao, P. G., Krishna, S., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2011). An efficient framework for prediction in healthcare data using soft computing techniques. International Conference on Advances in Computing and Communications, 522–532.
  4. Bhat, V. H., Krishna, S., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2011). Steganalysis of YASS using Huffman Length statistics. International Journal of Hybrid Information Technology, 4(3), 15–30.
  5. Bhat, V. H., Krishna, S., & Shenoy, P. D. (2010). SURF: Steganalysis using random forests. ISDA, 373–378.
  6. Bhat, V. H., Krishna, S., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2010). JPEG steganalysis using HBCL statistics and FR index. Pacific-Asia Workshop on Intelligence and Security Informatics, 105–112.
  7. Bhat, V. H., Krishna, S., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2010). JHUF-5 steganalyzer: Huffman based steganalytic features for reliable detection of YASS in JPEG images. In Signal Processing and Multimedia (pp. 87–97). Springer, Berlin, Heidelberg.
  8. Veena, H. B., Krishna, S., & Shenoy, P. D. (2010). SURF: Steganalysis using random forests. 2010 10th International Conference on Intelligent Systems Design and Applications, 373–378.
  9. Bhat, V. H., Krishna, S., Shenoy, P. D., Venugopal, K. R., & Patnaik, L. M. (2010). HUBFIRE—A multi-class SVM based JPEG steganalysis using HBCL statistics and Fr Index. 2010 International Conference on Security and Cryptography (SECRYPT), 1–6.
  10. Kanavalli, A., Bharath, G. P., Prasad, B. N. N., Shenoy, P. D., Venugopal, K. R., Patnaik, L. M., Kiran, N. C., Venugopal, K. R., Bhat, V., Krishna, S., & others. Book Chapters.

© 2020. All rights reserved. Krishna Somandepalli