Journal Publications:
- Kalluri, Shareef Babu, Deepu Vijayasenan, and Sriram Ganapathy. "Automatic speaker profiling from short duration speech data." Speech Communication 121 (2020): 16-28.
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Rajan, M. Ragesh, Deepu Vijayasenan, and Ashwin Vijayakumar. "Predicting Gamaka -- The Essential Embellishments in Karnatic Music." IEEE Access 7 (2019): 175386-175395.
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Deepu Vijayasenan, Fabio Valente, Herv e Bourlard “Multistream speaker diarization of meetings recordings beyond MFCC and TDOA features” Speech Communication 54(1), 55-67: (2012) 10.1016/j.specom.2011.07.001.
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Deepu Vijayasenan F. Valente and Herv e Bourlard “An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization” IEEE Transactions on Acoustics, Speech and Language Processing 19(2): 431-438 (2011) 10.1109/TASL.2010.2048603.
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Deepu Vijayasenan F. Valente and Herv e Bourlard “An Information Theoretic Approach to Speaker Diarization of Meeting Data” IEEE Transactions on Acoustics, Speech and Language Processing 17(7), 1382-1393:(2009), 10.1109/TASL.2009.2015698.
Conference Publications:
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Kalluri, Shareef Babu, Deepu Vijayasenan, Sriram Ganapathy, Ragesh Rajan M, Prashant Krishnan, ``NISP: A Multilingual Multi-accent Dataset for Speaker Profiling'', in the proceedings of the 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Ontario, Canada, IEEE, 2021.
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S. Aboobacker, D. Vijayasenan, S. Sumam David, P. K. Suresh and S. Sreeram, "A Deep Learning Model For The Automatic Detection Of Malignancy In Effusion Cytology," 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Macau, China, 2020, pp. 1-5, doi: 10.1109/ICSPCC50002.2020.9259490.
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S. Lakshmi, K. V. Sai Ritwik, D. Vijayasenan, S. David S., S. Sreeram and P. K. Suresh, "Deep Learning Model based Ki-67 Index estimation with Automatically Labelled Data," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 1412-1415, doi: 10.1109/EMBC44109.2020.9175752.
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Kalluri, Shareef Babu, Deepu Vijayasenan, and Sriram Ganapathy. "A Deep Neural Network Based End to End Model for Joint Height and Age Estimation from Short Duration Speech." ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019.
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Lakshmi S., Deepu Vijayasenan, Sumam David S., Saraswathy Sreeram and Pooja K S "An Integrated Deep Learning Approach towards Automatic Evaluation of Ki-67 Labeling Index." In TENCON 2019 - 2019 IEEE Region 10 Conference. IEEE, 2019
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Ragesh Rajan, M., Ashwin Vijayakumar, and Deepu Vijayasenan. "Prediction of aesthetic elements in Karnatic Music: A machine learning approach." Proc. Interspeech 2018 (2018): 2042-2046.
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Ashtamoorthy, Anand, Pranav Prasad, Shashank Dhar, and Deepu Vijayasenan. "Frequency contour modeling to synthesize natural flute renditions for carnatic music." In 2018 International Conference on Signal Processing and Communications (SPCOM), pp. 172-176. IEEE, 2018.
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Babu, Kalluri Shareef, and Deepu Vijayasenan. "Robust features for automatic estimation of physical parameters from speech." TENCON 2017-2017 IEEE Region 10 Conference. IEEE, 2017
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Kalluri, Shareef Babu, Ashwin Vijayakumar, Deepu Vijayasenan, and Rita Singh. "Estimating multiple physical parameters from speech data." In 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-5. IEEE, 2016.
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Vernekar, Sachin, Deepu Vijaysenan, and Rohit Ranjan. "A novel approach for Robust Detection of Heart Beats in Multimodal Data using neural networks and boosted trees." In 2016 Computing in Cardiology Conference (CinC), pp. 1137-1140. IEEE, 2016.
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Vernekar, Sachin, Saurabh Nair, Deepu Vijaysenan, and Rohit Ranjan. "A novel approach for classification of normal/abnormal phonocardiogram recordings using temporal signal analysis and machine learning." In 2016 Computing in Cardiology Conference (CinC), pp. 1141-1144. IEEE, 2016.
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Vijayasenan, Deepu, Shareef Babu Kalluri, K. Sreekanth, and Ansal Issac. "Study of Wireless Channel Effects on Audio Forensics." In 2016 22nd Annual International Conference on Advanced Computing and Communication (ADCOM), pp. 33-37. IEEE, 2016.
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Deepu Vijayasenan and F. Valente, “DiarTk: An Open Source Toolkit for Research in Multistream Speaker Diarization and its Application to Meetings Recordings”, INTERSPEECH 2012, Florence, Italy.
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Deepu Vijayasenan and F. Valente “Speaker Diarization of Meetings based on Large TDOA Feature Vectors” Proceedings of ICASSP 2012, Kyoto, Japan.
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Deepu Vijayasenan F. Valente and Herve Bourlard “Advances in Fast Multistream Diarization based on the Information Bottleneck Framework” Proceedings of Interpseech 2010 Kyoto, Makuhari, Japan.
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Deepu Vijayasenan F. Valente and Herve Bourlard “Multistream Speaker Diarization Beyond Two Acoustic Streams” Proceedings of ICASSP 2010
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Deepu Vijayasenan F. Valente and Herve Bourlard “KL Realignment for Speaker Diarization with Multiple Feature Streams” Proceedings of Interspeech 2009 pp. 1059-1062.
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Deepu Vijayasenan F. Valente and Herve Bourlard “Mutual Information based Channel Selection for Speaker Diarization of Meetings Data” ICASSP 2009 pp.4065-4068.
Patents:
- Shekhar Ramachandra Borgaonkar, Prasenjit Dey and Deepu Vijayasenan, “Systems and methods for estimating distances using multi-resolution functions” US Patent: US20090204364.
- 2. Dinesh Mandalapu, Sriganesh Madhvanath, Deepu Vijayasenan, Rama Vennelakanti, “Annotation on Media Sheet Indicating Functionality to be Performed in Relation to Image on Media Sheet” US Patent: US20100309527.
