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Padmanabhan Rajan
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2020 – today
- 2024
- [c37]Shilpa Chandra, Padmanabhan Rajan:
Is That Me? Using Speaker Identity to Detect Fake Speech. MLSP 2024: 1-6 - 2023
- [c36]Akansha Tyagi, Padmanabhan Rajan:
Sparse Representation Frameworks for Acoustic Scene Classification. SPECOM (1) 2023: 177-188 - [c35]Rajesh R, Padmanabhan Rajan:
Neural Networks for Interference Reduction in Multi-Track Recordings. WASPAA 2023: 1-5 - 2022
- [j4]Dhanunjaya Varma Devalraju, Padmanabhan Rajan:
Multiview Embeddings for Soundscape Classification. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1197-1206 (2022) - [c34]Akansha Tyagi, Padmanabhan Rajan:
Location-invariant representations for acoustic scene classification. EUSIPCO 2022: 394-398 - 2021
- [c33]Muralikrishna H, Shantanu Kapoor, Dileep Aroor Dinesh, Padmanabhan Rajan:
Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss. ICASSP 2021: 7223-7227 - [c32]Muralikrishna H, Shikha Gupta, Dileep Aroor Dinesh, Padmanabhan Rajan:
Noise-Robust Spoken Language Identification Using Language Relevance Factor Based Embedding. SLT 2021: 644-651 - [i4]Arshdeep Singh, Raju Arvind, Padmanabhan Rajan:
Health Monitoring of Industrial machines using Scene-Aware Threshold Selection. CoRR abs/2111.10897 (2021) - 2020
- [j3]Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar:
SVD-based redundancy removal in 1-D CNNs for acoustic scene classification. Pattern Recognit. Lett. 131: 383-389 (2020) - [c31]Dhanunjaya Varma Devalraju, Padmanabhan Rajan, Aroor Dinesh Dileep:
Learning to Separate: Soundscape Classification using Foreground and Background. EUSIPCO 2020: 21-25 - [c30]Dhanunjaya Varma Devalraju, H. Muralikrishna, Padmanabhan Rajan, Dileep Aroor Dinesh:
Attention-Driven Projections for Soundscape Classification. INTERSPEECH 2020: 1206-1210
2010 – 2019
- 2019
- [j2]Anshul Thakur, Padmanabhan Rajan:
Deep Archetypal Analysis Based Intermediate Matching Kernel for Bioacoustic Classification. IEEE J. Sel. Top. Signal Process. 13(2): 298-309 (2019) - [c29]Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar:
Deep Multi-view Features from Raw Audio for Acoustic Scene Classification. DCASE 2019: 229-233 - [c28]Arshdeep Singh, Padmanabhan Rajan, Arnav Bhavsar:
Deep Hidden Analysis: A Statistical Framework to Prune Feature Maps. ICASSP 2019: 820-824 - [c27]Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan:
CONV-codes: Audio Hashing for Bird Species Classification. ICASSP 2019: 8241-8245 - [c26]Ragini Sinha, Vivek Vadluri, Ashish Arya, Padmanabhan Rajan:
Single versus Multi-Source Discrimination in Birdcalls using Zero-Frequency Filtering. NCC 2019: 1-6 - [i3]Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan:
Conv-codes: Audio Hashing For Bird Species Classification. CoRR abs/1902.02498 (2019) - [i2]Anshul Thakur, Padmanabhan Rajan:
Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation. CoRR abs/1902.09765 (2019) - [i1]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 abs/1903.10713 (2019) - 2018
- [c25]Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan, Arnav Bhavsar:
A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification. EUSIPCO 2018: 837-841 - [c24]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Compressed Convex Spectral Embedding for Bird Species Classification. ICASSP 2018: 261-265 - [c23]Ragini Sinha, Padmanabhan Rajan:
A Deep Autoencoder Approach To Bird Call Enhancement. ICIIS 2018: 22-26 - [c22]Rhythm Bhatia, Harshita Seth, Padmanabhan Rajan:
Feature learning for bird-call segmentation using phase based features. ICIIS 2018: 67-71 - [c21]Harshita Seth, Rhythm Bhatia, Padmanabhan Rajan:
Feature Learning for Bird Call Clustering. ICIIS 2018: 72-76 - [c20]Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam:
All-Conv Net for Bird Activity Detection: Significance of Learned Pooling. INTERSPEECH 2018: 2122-2126 - [c19]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Deep Convex Representations: Feature Representations for Bioacoustics Classification. INTERSPEECH 2018: 2127-2131 - [c18]Arshdeep Singh, Anshul Thakur, Padmanabhan Rajan:
APE: Archetypal-Prototypal Embeddings for Audio Classification. MLSP 2018: 1-6 - [c17]Anshul Thakur, Arshdeep Singh, Padmanabhan Rajan:
Convex likelihood alignments for bioacoustic Classification. MLSP 2018: 1-6 - 2017
- [c16]Anshul Thakur, R. Jyothi, Padmanabhan Rajan, Aroor Dinesh Dileep:
Rapid bird activity detection using probabilistic sequence kernels. EUSIPCO 2017: 1754-1758 - [c15]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: 1774-1778 - [c14]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation. MLSP 2017: 1-6 - [c13]Anshul Thakur, Padmanabhan Rajan:
Unsupervised birdcall activity detection using source and system features. NCC 2017: 1-6 - 2016
- [c12]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: 280-285 - [c11]Anshul Thakur, Padmanabhan Rajan:
Model-based unsupervised segmentation of birdcalls from field recordings. ICSPCS 2016: 1-6 - 2014
- [j1]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: 93-101 (2014) - 2013
- [c10]Aleksandr Diment, Padmanabhan Rajan, Toni Heittola, Tuomas Virtanen:
Group Delay Function from All-Pole Models for Musical Instrument Recognition. CMMR 2013: 606-618 - [c9]Tomi Kinnunen, Padmanabhan Rajan:
A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data. ICASSP 2013: 7229-7233 - [c8]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: 1986-1990 - [c7]Padmanabhan Rajan, Tomi Kinnunen, Cemal Hanilçi, Jouni Pohjalainen, Paavo Alku:
Using group delay functions from all-pole models for speaker recognition. INTERSPEECH 2013: 2489-2493 - [c6]Rosa González Hautamäki, Ville Hautamäki, Padmanabhan Rajan, Tomi Kinnunen:
Merging human and automatic system decisions to improve speaker recognition performance. INTERSPEECH 2013: 2519-2523 - [c5]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: 2881-2885 - [c4]Padmanabhan Rajan, Tomi Kinnunen, Ville Hautamäki:
Effect of multicondition training on i-vector PLDA configurations for speaker recognition. INTERSPEECH 2013: 3694-3697 - [c3]Ville Hautamäki, You-Chi Cheng, Padmanabhan Rajan, Chin-Hui Lee:
Minimax i-vector extractor for short duration speaker verification. INTERSPEECH 2013: 3708-3712 - 2012
- [c2]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: 4229-4232 - 2011
- [c1]Sriram Ganapathy, Padmanabhan Rajan, Hynek Hermansky:
Multi-layer perceptron based speech activity detection for speaker verification. WASPAA 2011: 321-324
Coauthor Index
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