List of publications of Padmanabhan Rajan

In journals:

1. Dhanunjaya Varma Devalraju, Padmanabhan Rajan, ''Multiview Embeddings for Soundscape Classification'', IEEE Trans. ASLP, 30 (2022) pp. 1197-1206 pdf

2. Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar, ''SVD-based redundancy removal in 1-D CNNs for acoustic scene classification'', Pattern Recognition Letters 131 (2020) pdf

3. Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, and Aditya Nigam, ''Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet loss'', The Journal of the Acoustical Society of America 146 (2019) pdf

4. Anshul Thakur, Padmanabhan Rajan, ''Deep Archetypal Analysis Based Intermediate Matching Kernel For Bioacoustic Classification'', IEEE Jnl. Selected Topics in Signal Processing (2019) pdf
5. Anshul Thakur, Padmanabhan Rajan, '' Directional embedding based semi-supervised framework for bird vocalization segmentation'', Applied Acoustics 151 (2019) pdf
6. Anshul Thakur, Vinayak Abrol, Pulkit Sharma, and Padmanabhan Rajan, ''Local compressed convex spectral embedding for bird species identification'', The Journal of the Acoustical Society of America 143, 3819 (2018) pdf
7. 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

8. 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

9. 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

In conference proceedings:

1. Shilpa Chandra, Padmanabhan Rajan, "Is that me? Using speaker identity to detect fake speech", Proc MLSP 2024 pdf

2. Rajesh R, Padmanabhan Rajan, "Neural networks for interference reduction in multi-track recordings", Proc WASPAA 2023 pdf

3. Akansha Tyagi, Padmanabhan Rajan, "Location-invariant representations for acoustic scene classification", Proc EUSIPCO 2022 pdf

4. Muralikrishna H., S. Kapoor, Dileep A.D., Padmanabhan Rajan, ''Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss'', Proc. ICASSP 2021 pdf

5. Muralikrishna H., Shikha Gupta, Dileep A.D., Padmanabhan Rajan, ''Noise-robust spoken language identification using language relevance factor based embedding'', Proc. SLT 2020 pdf

6. Dhanunjaya Varma Devalraju, Muralikrishna H., Padmanabhan Rajan, Dileep A.D., ''Attention-Driven Projections for Soundscape Classification'', Proc. Interspeech 2020 pdf

7. Dhanunjaya Varma Devalraju, Padmanabhan Rajan, Dileep A.D., ''Learning to Separate: Soundscape Classification using Foreground and Background'', Proc. EUSIPCO 2020 pdf

8. Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar, ''Deep muitl-view features from raw audio for acoustic scene classification'', DCASE Workshop 2019 pdf

9. Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar, ''Deep Hidden Analysis: A statistical framework to prune feature maps'', Proc. ICASSP 2019 pdf

10. Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan, ''Conv-codes: Audio Hashing for bird species classification'', Proc. ICASSP 2019 pdf

11. Ragini Sinha, Padmanabhan Rajan, ''A deep autoencoder approach to bird call enhancement'', Proc. ICIIS 2018 pdf

12. Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, ''APE: Archetypal-prototypal embeddings for audio classification'', Proc. MLSP 2018 pdf

13. Anshul Thakur, Arshdeep Singh, Padmanabhan Rajan, ''Convex Likelihood Alignments for bioacoustic classification'', Proc. MLSP 2018 pdf

14. Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan and Arnav Bhavsar,``A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification'', Proc. EUSIPCO 2018 pdf

15. Anshul Thakur, Vinayak Abrol, Pulkit Sharma and Padmanabhan Rajan,``Deep Convex Representations: Feature Representations for Bioacoustics Classification'', Proc. Interspeech 2018. pdf

16. Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan and Aditya Nigam,``All-Conv Net for Bird Activity Detection: Significance of Learned Pooling'', Proc. Interspeech 2018. pdf

17. A. Thakur et. al.``Compressed convex spectral embedding for bird species classification'', Proc. ICASSP 2018 pdf

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

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

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

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

22. 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

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

24. 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

25. 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

26. 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.

27. 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.

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

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

30. 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.

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

32. 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.

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

34. 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.

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

36. 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.

37. 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.

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

39. 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.

40. 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.

41. 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.

42. 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.