| Audio Event Detection using Weakly Labeled Data A Kumar, B Raj 24th ACM International Conference on Multimedia (ACM MM), 2016 | 158 | 2016 |
| Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes A Kumar, M Khadkevich, C Fugen IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 97 | 2018 |
| Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes A Kumar, M Khadkevich, C Fügen IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 97 | 2018 |
| Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks A Kumar, D Florencio Interspeech, 2016 | 97 | 2016 |
| Audio event detection from acoustic unit occurrence patterns A Kumar, P Dighe, R Singh, S Chaudhuri, B Raj 2012 IEEE international conference on acoustics, speech and signal …, 2012 | 73 | 2012 |
| Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording B Elizalde, A Kumar, A Shah, A Badlani, E Vincent, B Raj, I Lane Workshop on Detection and Classification of Acoustic Scenes and Events …, 2016 | 54* | 2016 |
| Deep cnn framework for audio event recognition using weakly labeled web data A Kumar, B Raj NIPS Workshop on Machine Learning for Audio, 2017 | 41 | 2017 |
| A closer look at weak label learning for audio events A Shah, A Kumar, AG Hauptmann, B Raj arXiv preprint arXiv:1804.09288, 2018 | 36 | 2018 |
| Informedia@ trecvid 2014 med and mer SI Yu, L Jiang, Z Mao, X Chang, X Du, C Gan, Z Lan, Z Xu, X Li, Y Cai, ... NIST TRECVID Video Retrieval Evaluation Workshop 24, 2014 | 36 | 2014 |
| Audio event and scene recognition: A unified approach using strongly and weakly labeled data A Kumar, B Raj 2017 International Joint Conference on Neural Networks (IJCNN), 3475-3482, 2017 | 30 | 2017 |
| Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data A Kumar, B Raj International Joint Conference on Neural Networks (IJCNN), 2017 | 30 | 2017 |
| NELS-Never-Ending Learner of Sounds B Elizalde, R Badlani, A Shah, A Kumar, B Raj NIPS Workshop on Machine Learning for Audio, 2018 | 22* | 2018 |
| Weakly Supervised Scalable Audio Content Analysis A Kumar, B Raj IEEE International Conference on Multimedia & Expo, 2016 | 22 | 2016 |
| Content Based Representations Of Audio Using Siamese Neural Networks P Manocha, R Badlani, A Kumar, A Shah, B Elizalde, B Raj IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 21 | 2018 |
| Detecting sound objects in audio recordings A Kumar, R Singh, B Raj Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd …, 2014 | 19 | 2014 |
| An Approach for Self-Training Audio Event Detectors Using Web Data A Shah, R Badlani, A Kumar, B Elizalde, B Raj 25th European Signal Processing Conference (EUSIPCO), 2017 | 17 | 2017 |
| Cmu-informedia@ trecvid 2014 multimedia event detection (med) S Yu, L Jiang, Z Mao, XJ Chang, XZ Du, C Gan, ZZ Lan, ZW Xu, XC Li, ... TRECVID video retrieval evaluation workshop, 2014 | 17 | 2014 |
| SeCoST:: Sequential Co-Supervision for Large Scale Weakly Labeled Audio Event Detection A Kumar, VK Ithapu IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2020 | 12* | 2020 |
| Unsupervised fusion weight learning in multiple classifier systems A Kumar, B Raj arXiv preprint arXiv:1502.01823, 2015 | 12 | 2015 |
| Event detection in short duration audio using Gaussian Mixture Model and Random Forest Classifier A Kumar, RM Hegde, R Singh, B Raj Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st …, 2013 | 12 | 2013 |
bhiksha rajCarnegie Mellon UniversityVerified email at cs.cmu.edu
