| An improved differential evolution algorithm with fitness-based adaptation of the control parameters A Ghosh, S Das, A Chowdhury, R Giri Information Sciences 181 (18), 3749-3765, 2011 | 163 | 2011 |
| Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures R Giri, BD Rao IEEE Transactions on Signal Processing 64 (13), 2016 | 141 | 2016 |
| Attention wave-u-net for speech enhancement R Giri, U Isik, A Krishnaswamy 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 132 | 2019 |
| Improving Speech Recognition in Reverberation using a Room-aware Deep Neural Network and Multi-Task Learning R Giri, ML Seltzer, J Droppo, D Yu Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International, 2015 | 114 | 2015 |
| Poconet: Better speech enhancement with frequency-positional embeddings, semi-supervised conversational data, and biased loss U Isik, R Giri, N Phansalkar, JM Valin, K Helwani, A Krishnaswamy arXiv preprint arXiv:2008.04470, 2020 | 100 | 2020 |
| Perceptually guided speech enhancement using deep neural networks Y Zhao, B Xu, R Giri, T Zhang 2018 IEEE International Conference on acoustics, speech and Signal …, 2018 | 99 | 2018 |
| A perceptually-motivated approach for low-complexity, real-time enhancement of fullband speech JM Valin, U Isik, N Phansalkar, R Giri, K Helwani, A Krishnaswamy arXiv preprint arXiv:2008.04259, 2020 | 91 | 2020 |
| Channel-attention dense u-net for multichannel speech enhancement B Tolooshams, R Giri, AH Song, U Isik, A Krishnaswamy ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 83 | 2020 |
| SELF-SUPERVISED CLASSIFICATION FOR DETECTING ANOMALOUS SOUNDS R Giri, SV Tenneti, F Cheng, K Helwani, U Isik, A Krishnaswamy DCASE 2020, 2020 | 56 | 2020 |
| UNSUPERVISED ANOMALOUS SOUND DETECTION USING SELF-SUPERVISED CLASSIFICATION AND GROUP MASKED AUTOENCODER FOR DENSITY ESTIMATION R Giri, SV Tenneti, F Cheng, K Helwani, U Isik, A Krishnaswamy | 52 | 2020 |
| A modified invasive weed optimization algorithm for training of feed-forward neural networks R Giri, A Chowdhury, A Ghosh, S Das, A Abraham, V Snasel 2010 IEEE international conference on systems, man and cybernetics, 3166-3173, 2010 | 51 | 2010 |
| From speech-to-speech translation to automatic dubbing M Federico, R Enyedi, R Barra-Chicote, R Giri, U Isik, A Krishnaswamy, ... arXiv preprint arXiv:2001.06785, 2020 | 49 | 2020 |
| Linear antenna array synthesis using fitness-adaptive differential evolution algorithm A Chowdhury, R Giri, A Ghosh, S Das, A Abraham, V Snasel IEEE Congress on Evolutionary Computation, 1-8, 2010 | 45 | 2010 |
| Personalized percepnet: Real-time, low-complexity target voice separation and enhancement R Giri, S Venkataramani, JM Valin, U Isik, A Krishnaswamy arXiv preprint arXiv:2106.04129, 2021 | 42 | 2021 |
| An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization A Ghosh, S Das, A Chowdhury, R Giri Engineering Applications of Artificial Intelligence 24 (7), 1195-1203, 2011 | 36 | 2011 |
| GROUP MASKED AUTOENCODER BASED DENSITY ESTIMATOR FOR AUDIO ANOMALY DETECTION R Giri, F Cheng, K Helwani, SV Tenneti, U Isik, A Krishnaswamy DCASE 2020 Workshop, 2020 | 27 | 2020 |
| Enhancing into the codec: Noise robust speech coding with vector-quantized autoencoders J Casebeer, V Vale, U Isik, JM Valin, R Giri, A Krishnaswamy ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 21 | 2021 |
| Optimization of antenna configuration with a fitness-adaptive differential evolution algorithm A Chowdhury, A Ghosh, R Giri, S Das Progress In Electromagnetics Research B 26, 291-319, 2010 | 20 | 2010 |
| Semi-supervised singing voice separation with noisy self-training Z Wang, R Giri, U Isik, JM Valin, A Krishnaswamy ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 19 | 2021 |
| Joint Clustering and Classification for Multiple Instance Learning K Sikka, R Giri, M Bartlett British Machine Vision Conference, 2015 | 17 | 2015 |
Karim HelwaniAmazon在 ieee.org 的电子邮件经过验证
