Padmanabhan Rajan

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 33

Top Topics

Activity Detection

Scene Classification

Top Venues

Publications

Akansha Tyagi, Padmanabhan Rajan
Sparse Representation Frameworks for Acoustic Scene Classification. SPECOM (1) (2023)
Rajesh R, Padmanabhan Rajan
Neural Networks for Interference Reduction in Multi-Track Recordings. WASPAA (2023)
Dhanunjaya Varma Devalraju, Padmanabhan Rajan
Multiview Embeddings for Soundscape Classification. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Akansha Tyagi, Padmanabhan Rajan
Location-invariant representations for acoustic scene classification. EUSIPCO (2022)
Arshdeep Singh, Raju Arvind, Padmanabhan Rajan
Health Monitoring of Industrial machines using Scene-Aware Threshold Selection. CoRR (2021)
Muralikrishna H, Shikha Gupta, Dileep Aroor Dinesh, Padmanabhan Rajan
Noise-Robust Spoken Language Identification Using Language Relevance Factor Based Embedding. SLT (2021)
Muralikrishna H, Shantanu Kapoor, Dileep Aroor Dinesh, Padmanabhan Rajan
Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss. ICASSP (2021)
Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar
SVD-based redundancy removal in 1-D CNNs for acoustic scene classification. Pattern Recognit. Lett. 131 (2020)
Dhanunjaya Varma Devalraju, H. Muralikrishna, Padmanabhan Rajan, Dileep Aroor Dinesh
Attention-Driven Projections for Soundscape Classification. INTERSPEECH (2020)
Dhanunjaya Varma Devalraju, Padmanabhan Rajan, Aroor Dinesh Dileep
Learning to Separate: Soundscape Classification using Foreground and Background. EUSIPCO (2020)
Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan
Conv-codes: Audio Hashing For Bird Species Classification. CoRR (2019)
Anshul Thakur, Padmanabhan Rajan
Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation. CoRR (2019)
Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss. CoRR (2019)
Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar
Deep Multi-view Features from Raw Audio for Acoustic Scene Classification. DCASE (2019)
Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar
Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps. ICASSP (2019)
Ragini Sinha, Vivek Vadluri, Ashish Arya, Padmanabhan Rajan
Single versus Multi-Source Discrimination in Birdcalls using Zero-Frequency Filtering. NCC (2019)
Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan
CONV-codes: Audio Hashing for Bird Species Classification. ICASSP (2019)
Anshul Thakur, Padmanabhan Rajan
Deep Archetypal Analysis Based Intermediate Matching Kernel for Bioacoustic Classification. IEEE J. Sel. Top. Signal Process. 13 (2) (2019)
Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan
APE: Archetypal-Prototypal Embeddings for Audio Classification. MLSP (2018)
Ragini Sinha, Padmanabhan Rajan
A Deep Autoencoder Approach To Bird Call Enhancement. ICIIS (2018)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
Compressed Convex Spectral Embedding for Bird Species Classification. ICASSP (2018)
Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam
All-Conv Net for Bird Activity Detection: Significance of Learned Pooling. INTERSPEECH (2018)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
Deep Convex Representations: Feature Representations for Bioacoustics Classification. INTERSPEECH (2018)
Harshita Seth, Rhythm Bhatia, Padmanabhan Rajan
Feature Learning for Bird Call Clustering. ICIIS (2018)
Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar
A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification. EUSIPCO (2018)
Anshul Thakur, Arshdeep Singh, Padmanabhan Rajan
Convex likelihood alignments for bioacoustic Classification. MLSP (2018)
Rhythm Bhatia, Harshita Seth, Padmanabhan Rajan
Feature learning for bird-call segmentation using phase based features. ICIIS (2018)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation. MLSP (2017)
Anshul Thakur, R. Jyothi, Padmanabhan Rajan, Aroor Dinesh Dileep
Rapid bird activity detection using probabilistic sequence kernels. EUSIPCO (2017)
Anshul Thakur, Padmanabhan Rajan
Unsupervised birdcall activity detection using source and system features. NCC (2017)
Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao
Archetypal analysis based sparse convex sequence kernel for bird activity detection. EUSIPCO (2017)
Anshul Thakur, Padmanabhan Rajan
Model-based unsupervised segmentation of birdcalls from field recordings. ICSPCS (2016)
Deep Chakraborty, Paawan Mukker, Padmanabhan Rajan, Aroor Dinesh Dileep
Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks. ICMLA (2016)
Padmanabhan Rajan, Anton Afanasyev, Ville Hautamäki, Tomi Kinnunen
From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification. Digit. Signal Process. 31 (2014)
Tomi Kinnunen, Padmanabhan Rajan
A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data. ICASSP (2013)
Aleksandr Diment, Padmanabhan Rajan, Toni Heittola, Tuomas Virtanen
Group Delay Function from All-Pole Models for Musical Instrument Recognition. CMMR (2013)
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
I4u submission to NIST SRE 2012: a large-scale collaborative effort for noise-robust speaker verification. INTERSPEECH (2013)
Padmanabhan Rajan, Tomi Kinnunen, Ville Hautamäki
Effect of multicondition training on i-vector PLDA configurations for speaker recognition. INTERSPEECH (2013)
Ville Hautamäki, You-Chi Cheng, Padmanabhan Rajan, Chin-Hui Lee
Minimax i-vector extractor for short duration speaker verification. INTERSPEECH (2013)
Rosa González Hautamäki, Ville Hautamäki, Padmanabhan Rajan, Tomi Kinnunen
Merging human and automatic system decisions to improve speaker recognition performance. INTERSPEECH (2013)
Cemal Hanilçi, Tomi Kinnunen, Padmanabhan Rajan, Jouni Pohjalainen, Paavo Alku, Figen Ertas
Comparison of spectrum estimators in speaker verification: mismatch conditions induced by vocal effort. INTERSPEECH (2013)
Padmanabhan Rajan, Tomi Kinnunen, Cemal Hanilçi, Jouni Pohjalainen, Paavo Alku
Using group delay functions from all-pole models for speaker recognition. INTERSPEECH (2013)
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
The UMD-JHU 2011 speaker recognition system. ICASSP (2012)
Sriram Ganapathy, Padmanabhan Rajan, Hynek Hermansky
Multi-layer perceptron based speech activity detection for speaker verification. WASPAA (2011)