Padmanabhan Rajan

According to our database, Padmanabhan Rajan authored at least 43 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neural Networks for Interference Reduction in Multi-Track Recordings.

Rajesh R, Padmanabhan Rajan

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Sparse Representation Frameworks for Acoustic Scene Classification.

Akansha Tyagi, Padmanabhan Rajan

Proceedings of the Speech and Computer - 25th International Conference, 2023

2022

Multiview Embeddings for Soundscape Classification.

Dhanunjaya Varma Devalraju, Padmanabhan Rajan

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Location-invariant representations for acoustic scene classification.

Akansha Tyagi, Padmanabhan Rajan

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Health Monitoring of Industrial machines using Scene-Aware Threshold Selection.

Arshdeep Singh, Raju Arvind, Padmanabhan Rajan

CoRR, 2021

Noise-Robust Spoken Language Identification Using Language Relevance Factor Based Embedding.

Muralikrishna H, Shikha Gupta, Dileep Aroor Dinesh, Padmanabhan Rajan

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss.

Muralikrishna H, Shantanu Kapoor, Dileep Aroor Dinesh, Padmanabhan Rajan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

SVD-based redundancy removal in 1-D CNNs for acoustic scene classification.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

Pattern Recognit. Lett., 2020

Attention-Driven Projections for Soundscape Classification.

Dhanunjaya Varma Devalraju, H. Muralikrishna, Padmanabhan Rajan, Dileep Aroor Dinesh

Proceedings of the Interspeech 2020, 2020

Learning to Separate: Soundscape Classification using Foreground and Background.

Dhanunjaya Varma Devalraju, Padmanabhan Rajan, Aroor Dinesh Dileep

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Deep Archetypal Analysis Based Intermediate Matching Kernel for Bioacoustic Classification.

Anshul Thakur, Padmanabhan Rajan

IEEE J. Sel. Top. Signal Process., 2019

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss.

Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam

CoRR, 2019

Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation.

Anshul Thakur, Padmanabhan Rajan

CoRR, 2019

Single versus Multi-Source Discrimination in Birdcalls using Zero-Frequency Filtering.

Ragini Sinha, Vivek Vadluri, Ashish Arya, Padmanabhan Rajan

Proceedings of the National Conference on Communications, 2019

CONV-codes: Audio Hashing for Bird Species Classification.

Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Multi-view Features from Raw Audio for Acoustic Scene Classification.

Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

Convex likelihood alignments for bioacoustic Classification.

Anshul Thakur, Arshdeep Singh, Padmanabhan Rajan

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

APE: Archetypal-Prototypal Embeddings for Audio Classification.

Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Deep Convex Representations: Feature Representations for Bioacoustics Classification.

Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan

Proceedings of the Interspeech 2018, 2018

All-Conv Net for Bird Activity Detection: Significance of Learned Pooling.

Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam

Proceedings of the Interspeech 2018, 2018

A Deep Autoencoder Approach To Bird Call Enhancement.

Ragini Sinha, Padmanabhan Rajan

Proceedings of the 13th IEEE International Conference on Industrial and Information Systems, 2018

Feature Learning for Bird Call Clustering.

Harshita Seth, Rhythm Bhatia, Padmanabhan Rajan

Proceedings of the 13th IEEE International Conference on Industrial and Information Systems, 2018

Feature learning for bird-call segmentation using phase based features.

Rhythm Bhatia, Harshita Seth, Padmanabhan Rajan

Proceedings of the 13th IEEE International Conference on Industrial and Information Systems, 2018

Compressed Convex Spectral Embedding for Bird Species Classification.

Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.

Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Unsupervised birdcall activity detection using source and system features.

Anshul Thakur, Padmanabhan Rajan

Proceedings of the Twenty-third National Conference on Communications, 2017

Rényi entropy based mutual information for semi-supervised bird vocalization segmentation.

Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Rapid bird activity detection using probabilistic sequence kernels.

Anshul Thakur, R. Jyothi, Padmanabhan Rajan, Aroor Dinesh Dileep

Proceedings of the 25th European Signal Processing Conference, 2017

Archetypal analysis based sparse convex sequence kernel for bird activity detection.

Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Model-based unsupervised segmentation of birdcalls from field recordings.

Anshul Thakur, Padmanabhan Rajan

Proceedings of the 10th International Conference on Signal Processing and Communication Systems, 2016

Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks.

Deep Chakraborty, Paawan Mukker, Padmanabhan Rajan, Aroor Dinesh Dileep

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2014

From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification.

Padmanabhan Rajan, Anton Afanasyev, Ville Hautamäki, Tomi Kinnunen

Digit. Signal Process., 2014

2013

I4u submission to NIST SRE 2012: a large-scale collaborative effort for noise-robust speaker verification.

Rahim Saeidi, Kong-Aik Lee, Tomi Kinnunen, Tawfik Hasan, Benoit G. B. Fauve, Pierre-Michel Bousquet, Elie Khoury, Pablo Luis Sordo Martinez, Jia Min Karen Kua, Changhuai You, Hanwu Sun, Anthony Larcher, Padmanabhan Rajan, Ville Hautamäki, Cemal Hanilçi, Billy Braithwaite, Rosa González Hautamäki, Seyed Omid Sadjadi, Gang Liu, Hynek Boril, Navid Shokouhi, Driss Matrouf, Laurent El Shafey, Pejman Mowlaee, Julien Epps, Tharmarajah Thiruvaran, David A. van Leeuwen, Bin Ma, Haizhou Li, John H. L. Hansen, Jean-François Bonastre, Sébastien Marcel, John S. D. Mason, Eliathamby Ambikairajah

Proceedings of the INTERSPEECH 2013, 2013

Using group delay functions from all-pole models for speaker recognition.

Padmanabhan Rajan, Tomi Kinnunen, Cemal Hanilçi, Jouni Pohjalainen, Paavo Alku

Proceedings of the INTERSPEECH 2013, 2013

Effect of multicondition training on i-vector PLDA configurations for speaker recognition.

Padmanabhan Rajan, Tomi Kinnunen, Ville Hautamäki

Proceedings of the INTERSPEECH 2013, 2013

Merging human and automatic system decisions to improve speaker recognition performance.

Rosa González Hautamäki, Ville Hautamäki, Padmanabhan Rajan, Tomi Kinnunen

Proceedings of the INTERSPEECH 2013, 2013

Minimax i-vector extractor for short duration speaker verification.

Ville Hautamäki, You-Chi Cheng, Padmanabhan Rajan, Chin-Hui Lee

Proceedings of the INTERSPEECH 2013, 2013

Comparison of spectrum estimators in speaker verification: mismatch conditions induced by vocal effort.

Cemal Hanilçi, Tomi Kinnunen, Padmanabhan Rajan, Jouni Pohjalainen, Paavo Alku, Figen Ertas

Proceedings of the INTERSPEECH 2013, 2013

A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data.

Tomi Kinnunen, Padmanabhan Rajan

Proceedings of the IEEE International Conference on Acoustics, 2013

Group Delay Function from All-Pole Models for Musical Instrument Recognition.

Aleksandr Diment, Padmanabhan Rajan, Toni Heittola, Tuomas Virtanen

Proceedings of the Sound, Music, and Motion - 10th International Symposium, 2013

2012

The UMD-JHU 2011 speaker recognition system.

Daniel Garcia-Romero, Xinhui Zhou, Dmitry N. Zotkin, Balaji Vasan Srinivasan, Yuancheng Luo, Sriram Ganapathy, Samuel Thomas, Sridhar Krishna Nemala, Garimella S. V. S. Sivaram, Majid Mirbagheri, Sri Harish Reddy Mallidi, Thomas Janu, Padmanabhan Rajan, Nima Mesgarani, Mounya Elhilali, Hynek Hermansky, Shihab A. Shamma, Ramani Duraiswami

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Multi-layer perceptron based speech activity detection for speaker verification.

Sriram Ganapathy, Padmanabhan Rajan, Hynek Hermansky

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011