List of publications of Padmanabhan Rajan

Journals:

  1. M. S. Saranya, P. Rajan, Hema A. Murthy, `` Feature-switching: Dynamic feature selection for an i-vector based speaker verification system'', Speech Communication, August 2017 pdf

  2. P. Rajan, A. Afanasyev, V. Hautamaki, T. Kinnunen, ``From Single to Multiple Enrollment i-Vectors: Practical PLDA Scoring Variants for Speaker Verification'', Digital Signal Processing, 31: 93-10, August 2014 pdf

  3. P. Sree Hari Krishnan, R. Padmanabhan, Hema A. Murthy, ``Robustness of Group Delay Representations for Noisy Speech Signals'', 14 (4), pp. 361-368, International Journal of Speech Technology, Springer, 2011 (joint first-author paper.) pdf

Conferences:

  1. A. Thakur et. al.``Renyi entropy based mutual information for semi-supervised bird vocalization segmentation'', Proc. MLSP 2017 pdf

  2. Vinayak Abrol et. al, ``Archetypal Analysis Based Sparse Convex Sequence Kernel for Bird Activity Detection'', Proc. EUSIPCO 2017 pdf

  3. A.Thakur et. al. ,``Rapid Bird Activity Detection Using Probabilistic Sequence Kernels'', Proc. EUSIPCO 2017 pdf

  4. A. Thakur and P. Rajan,``Unsupervised Birdcall Activity Detection Using Source and System Features'', Proc. NCC 2017. pdf

  5. D. Chakraborty, P. Mukker, A. D. Dileep and P. Rajan, ``Bird Call Identification using Dynamic Kernel based Support Vector Machines and Deep Neural Networks'', IEEE International Conference on Machine Learning and Applications (ICMLA) 2016. pdf

  6. A. Thakur, P. Rajan, ''Model-based unsupervised segmentation of birdcalls from field recordings'', Proc. International Conference on Signal Processing and Communications (ICSPC), 2016. pdf

  7. A. Diment, R. Padmanabhan, T. Heittola and T. Virtanen, ``Group Delay Function from All-Pole Models for Musical Instrument Recognition'', Computer Music Multidisciplinary Research 2013, Revised Selected Papers, Lecture Notes in Computer Science, Springer Verlag, 2014. pdf

  8. A. Diment, R. Padmanabhan, T. Heittola and T. Virtanen, ``Modified Group Delay Feature for Musical Instrument Recognition'', Proc. Computer Music Multidisciplinary Research 2013, Marseille, France, 2013. pdf

  9. R. Saeidi et. al, ``I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification'', Proc. Interspeech 2013, Lyon, France.

  10. C. Hanilci, T. Kinnunen, R. Padmanabhan, J. Pohjalainen, P. Alku, F. Ertas, ``Comparison of Spectrum Estimators in Speaker Verification: Mismatch Conditions Induced by Vocal Effort'', Proc. Interspeech 2013, Lyon, France.

  11. V. Hautamaki, Y. Cheng, R. Padmanabhan, C. Lee, ``Minimax i-vector extractor for short duration speaker verification'', Proc. Interspeech 2013, Lyon, France.

  12. R. Hautamaki, V. Hautamaki, R. Padmanabhan, T. Kinnunen, ``Merging human and automatic system decisions to improve speaker recognition performance'', Proc. Interspeech 2013, Lyon, France.

  13. R. Padmanabhan, T. Kinnunen, C. Hanilci, J. Pohjalainen, P. Alku, ``Using group delay functions from all-pole models for speaker recognition'', Proc. Interspeech 2013, Lyon, France.

  14. R. Padmanabhan, T. Kinnunen, V. Hautamaki, ``Effect of multicondition training on i-vector PLDA configurations for speaker recognition'', Proc. Interspeech 2013, Lyon, France.

  15. T. Kinnunen and R. Padmanabhan, ``A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data'', Proc. IEEE Intl. Conf. Acoustics, Speech and Signal Processing 2013, Vancouver, Canada.

  16. Daniel Garcia-Romero et. al. , ``The UMD-JHU 2011 Speaker Recognition System'', Proc. IEEE Intl. Conf. Acoustics, Speech and Signal Processing 2012, Kyoto, Japan.

  17. S. Ganapathy, R. Padmanabhan and H. Hermansky, ``Multilayer perceptron based speech activity detection for speaker verification'', Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011, New Paltz, USA.

  18. R. Padmanabhan, Hema A. Murthy, ``Acoustic feature diversity and speaker verification'', pp. 2110-2113, Proc. Interspeech 2010, Makuhari, Japan.

  19. R. Padmanabhan, P. Sree Hari Krishnan, Hema A. Murthy, ``Robustness of phase-based Features for Speaker Recognition'', pp. 2355-2358, Proc. Interspeech 2009, Brighton, England.

  20. R. Padmanabhan, Rajesh M. Hegde, Hema A. Murthy, ``Dynamic Selection of Magnitude and Phase based Acoustic Feature Streams for Speaker Verification'', Proc. European Signal Processing Conference 2009, pp. 1244-1248, Glasgow, Scotland.

  21. R. Padmanabhan, Hema A. Murthy, ``Feature Evaluation for Speaker Identification in Radio Communications Channel'', Proc. National Conf. on Communications, 2009, IIT Guwahati.

  22. R. Padmanabhan, Hema A. Murthy, ``On Parametric Representations of the Modified Group Delay'', Proc. IEEE Intl. Conf. Audio, Language and Image Processing, pp 1185-1188, 2008, Shanghai.

  23. R. Padmanabhan, P. Sree Hari Krishnan, Hema A. Murthy, ``A Pattern Recognition approach to VAD using Modified Group Delay'', Proc. National Conf. on Communications, pp. 432-436, 2008, IIT Bombay.

  24. P. Sree Hari Krishnan, R. Padmanabhan, Hema A. Murthy, ``Voice activity detection using group delay processing on buffered short term energy'', Proc. National Conf. on Communications, pp. 169-172, 2007, IIT Kanpur.

  25. P. Sree Hari Krishnan, R. Padmanabhan, Hema A. Murthy, ``Robust voice activity detection using group delay functions'', Proc. IEEE Intl. Conf. Industrial Technology, pp. 2603-2607, 2006, Mumbai.



Paddy 2017-08-24