Padmanabhan Rajan

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Anshul ThakurUniversity of OxfordDirección de correo verificada de eng.ox.ac.uk
Tomi KinnunenProfessor, University of Eastern FinlandDirección de correo verificada de uef.fi
Arshdeep SinghResearch Fellow, CVSSP, University of SurreyDirección de correo verificada de surrey.ac.uk
Ville HautamäkiAssociate Professor, University of Eastern FinlandDirección de correo verificada de cs.uef.fi
Vinayak AbrolIIIT Delhi, IndiaDirección de correo verificada de ieee.org
Pulkit SharmaPost-doctoral Researcher, University of OxfordDirección de correo verificada de eng.ox.ac.uk
Dileep Aroor DineshIndian Institute of Technology MandiDirección de correo verificada de iitmandi.ac.in
Arnav bhavsarIIT MandiDirección de correo verificada de iitmandi.ac.in
Daksh ThaparPhD Scholar, Indian Institute of Technology MandiDirección de correo verificada de students.iitmandi.ac.in
Aditya NigamAssociate Professor in SCEE at Indian Institute of Technology MandiDirección de correo verificada de iitmandi.ac.in
Jouni PohjalainenAalto UniversityDirección de correo verificada de aalto.fi
Sree Hari Krishnan ParthasarathiAmazonDirección de correo verificada de icsi.berkeley.edu
Hema A MurthyProfessor of Computer Science and Engineering, IIT MadrasDirección de correo verificada de cse.iitm.ac.in
Ganapathy SriramGoogle Research India; Associate Professor, Electrical Engineering, Indian Institute of Science.Dirección de correo verificada de iisc.ac.in
Toni HeittolaPostdoctoral research fellow, Tampere UniversityDirección de correo verificada de tuni.fi
Tuomas VirtanenTampere UniversityDirección de correo verificada de tuni.fi
Aleksandr DimentTampere University of TechnologyDirección de correo verificada de tuni.fi
Hynek HermanskyScientific Staff, Brno University of Technology, Professor Emeritus, The Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Muralikrishna HManipal Institute of Technology, Manipal Academy of Higher EducationDirección de correo verificada de manipal.edu
Anil Kumar SaoAssociate ProfessorDirección de correo verificada de iitmandi.ac.in

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Padmanabhan Rajan

Indian Institute of Technology Mandi

Dirección de correo verificada de iitmandi.ac.in - Página principal

Machine learning signal processing audio processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	154	2013
I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification R Saeidi, KA Lee, T Kinnunen, T Hasan, B Fauve, PM Bousquet, E Khoury, ... Annual Conference of the International Speech Communication Association …, 2013	91	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	65	2014
Robustness of phase based features for speaker recognition P Rajan, SHK Parthasarathi, HA Murthy Idiap, 2009	51	2009
Using group delay functions from all-pole models for speaker recognition P Rajan, TH Kinnunen, J Pohjalainen, P Alku, F Bimbot, C Cerisara, ... Isc-Int Speech Communication Association, 2013	48	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	44	2019
Effect of multicondition training on i-vector PLDA configurations for speaker recognition. P Rajan, T Kinnunen, V Hautamäki Interspeech, 3694-3697, 2013	43	2013
Minimax i-vector extractor for short duration speaker verification. V Hautamäki, YC Cheng, P Rajan, CH Lee INTERSPEECH 2013, 3708-3712, 2013	38	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	31	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	27	2013
Robustness of group delay representations for noisy speech signals SHK Parthasarathi, R Padmanabhan, HA Murthy International Journal of Speech Technology 14, 361-368, 2011	19	2011
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	18	2011
SVD-based redundancy removal in 1-D CNNs for acoustic scene classification A Singh, P Rajan, A Bhavsar Pattern Recognition Letters 131, 383-389, 2020	17	2020
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	17	2018
Merging human and automatic system decisions to improve speaker recognition performance. RG Hautamäki, V Hautamäki, P Rajan, T Kinnunen Interspeech, 2519-2523, 2013	16	2013
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	15	2018
Deep hidden analysis: A statistical framework to prune feature maps A Singh, P Rajan, A Bhavsar ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	13	2019
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	13	2019
Deep Convex Representations: Feature Representations for Bioacoustics Classification. A Thakur, V Abrol, P Sharma, P Rajan Interspeech, 2127-2131, 2018	13	2018
Acoustic scene classification using deep learning R Patiyal, P Rajan IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2016	13	2016

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