| HMM based isolated Kannada digit recognition system using MFCC H Muralikrishna, T Ananthakrishna 2013 international conference on advances in computing, communications and …, 2013 | 14 | 2013 |
| Spoken language identification using bidirectional lstm based lid sequential senones H Muralikrishna, P Sapra, A Jain, DA Dinesh 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 13 | 2019 |
| Spoken language identification in unseen target domain using within-sample similarity loss H Muralikrishna, S Kapoor, DA Dinesh, P Rajan ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 7 | 2021 |
| Noise-robust spoken language identification using language relevance factor based embedding H Muralikrishna, S Gupta, DA Dinesh, P Rajan 2021 IEEE Spoken Language Technology Workshop (SLT), 644-651, 2021 | 6 | 2021 |
| A novel approach for fast generation of digitally reconstructed radiographs to increase the automation of 2D-3D registration system AS Ragte, PD Almeida, BHC Rao, H Anitha, H Muralikrishna 2016 IEEE International Conference on Recent Trends in Electronics …, 2016 | 5 | 2016 |
| Spoken language identification in unseen channel conditions using modified within-sample similarity loss H Muralikrishna, DA Dinesh Pattern Recognition Letters 158, 16-23, 2022 | 3 | 2022 |
| Advancing ovarian cancer diagnosis through deep learning and explainable AI: A multiclassification approach M Radhakrishnan, N Sampathila, H Muralikrishna, KS Swathi IEEE Access, 2024 | 1 | 2024 |
| Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language ADD Sean Monteiro, Ananya Angra, Muralikrishna H, Veena Thenkanidiyoor International Conference on Speech and Computer, 2023 | 1 | 2023 |
| Attention-Driven Projections for Soundscape Classification. DV Devalraju, H Muralikrishna, P Rajan, DA Dinesh INTERSPEECH, 1206-1210, 2020 | 1 | 2020 |
| Exploring aggregated wav2vec 2.0 features and dual-stream TDNN for efficient spoken dialect identification A Angra, H Muralikrishna, AD Dileep, T Veena IEEE Access, 2024 | | 2024 |
| Exploring the Effectiveness of Feature Reduction and Kernel-Based Matching for Query-by-Example Spoken Term Detection using CNN MN Gaonkar, V Thenkanidiyoor, DA Dinesh, H Muralikrishna IEEE Access, 2024 | | 2024 |
| Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases R Kumar, V Srirama, K Chadaga, H Muralikrishna, N Sampathila, ... IEEE Access, 2024 | | 2024 |
| Corrections to “Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach” M Radhakrishnan, N Sampathila, H Muralikrishna, KS Swathi IEEE Access 12, 174881-174887, 2024 | | 2024 |
| Spoken Language Identification in Unseen Target Domain Using Centroid Similarity Loss With Adaptive Gradient Blending H Muralikrishna, S Kumar, DA Dinesh, V Thenkanidiyoor IEEE Access, 2024 | | 2024 |
| Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification U Goswami, H Muralikrishna, AD Dileep, V Thenkanidiyoor International Conference on Speech and Computer, 475-489, 2023 | | 2023 |
Padmanabhan RajanIndian Institute of Technology MandiAdresse e-mail validée de iitmandi.ac.in
