Padmanabhan Rajan
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A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data
T Kinnunen, P Rajan
2013 IEEE international conference on acoustics, speech and signal …, 2013
I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification
R Saedi, KA Lee, T Kinnunen, T Hasan, B Fauve, PM Bousquet, E Khoury, ...
Interspeech, 2013
From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification
P Rajan, A Afanasyev, V Hautamäki, T Kinnunen
Digital Signal Processing 31, 93-101, 2014
Robustness of phase based features for speaker recognition
P Rajan, SHK Parthasarathi, HA Murthy
Idiap, 2009
Using group delay functions from all-pole models for speaker recognition.
P Rajan, T Kinnunen, C Hanilci, J Pohjalainen, P Alku
INTERSPEECH, 2489-2493, 2013
Effect of multicondition training on i-vector PLDA configurations for speaker recognition.
P Rajan, T Kinnunen, V Hautamäki
Interspeech, 3694-3697, 2013
Minimax i-vector extractor for short duration speaker verification.
V Hautamäki, YC Cheng, P Rajan, CH Lee
INTERSPEECH 2013, 3708-3712, 2013
Bird call identification using dynamic kernel based support vector machines and deep neural networks
D Chakraborty, P Mukker, P Rajan, AD Dileep
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
Modified group delay feature for musical instrument recognition
A Diment, P Rajan, T Heittola, T Virtanen
Proc. Int. Symp. Computer Music Multidisciplinary Research, 431-438, 2013
Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet loss
A Thakur, D Thapar, P Rajan, A Nigam
The Journal of the Acoustical Society of America 146 (1), 534-547, 2019
Merging human and automatic system decisions to improve speaker recognition performance.
RG Hautamäki, V Hautamäki, P Rajan, T Kinnunen
Interspeech, 2519-2523, 2013
Multi-layer perceptron based speech activity detection for speaker verification
S Ganapathy, P Rajan, H Hermansky
2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011
Compressed convex spectral embedding for bird species classification
A Thakur, V Abrol, P Sharma, P Rajan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation
A Thakur, V Abrol, P Sharma, P Rajan
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
Archetypal analysis based sparse convex sequence kernel for bird activity detection
V Abrol, P Sharma, A Thakur, P Rajan, AD Dileep, AK Sao
2017 25th European Signal Processing Conference (EUSIPCO), 1774-1778, 2017
The UMD-JHU 2011 speaker recognition system
D Garcia-Romero, X Zhou, D Zotkin, B Srinivasan, Y Luo, S Ganapathy, ...
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
Acoustic scene classification using deep learning
R Patiyal, P Rajan
IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2016
Deep Convex Representations: Feature Representations for Bioacoustics Classification.
A Thakur, V Abrol, P Sharma, P Rajan
INTERSPEECH, 2127-2131, 2018
Deep archetypal analysis based intermediate matching kernel for bioacoustic classification
A Thakur, P Rajan
IEEE Journal of Selected Topics in Signal Processing 13 (2), 298-309, 2019
A layer-wise score level ensemble framework for acoustic scene classification
A Singh, A Thakur, P Rajan, A Bhavsar
2018 26th European Signal Processing Conference (EUSIPCO), 837-841, 2018
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