| Multimodal Emotion Recognition Using Cross-Modal Attention and 1D Convolutional Neural Networks. DN Krishna, A Patil Interspeech, 4243-4247, 2020 | 91 | 2020 |
| Using Large Self-Supervised Models for Low-Resource Speech Recognition. DN Krishna, P Wang, B Bozza Interspeech, 2436-2440, 2021 | 19 | 2021 |
| Language independent gender identification from raw waveform using multi-scale convolutional neural networks DN Krishna, D Amrutha, SS Reddy, A Acharya, PA Garapati, BJ Triveni ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 14 | 2020 |
| Development of Large Vocabulary Speech Recognition System with Keyword Search for Manipuri. T Patel, DN Krishna, N Fathima, N Shah, C Mahima, D Kumar, A Iyengar Interspeech, 1031-1035, 2018 | 12 | 2018 |
| An Automatic Speech Transcription System for Manipuri Language. T Patel, DN Krishna, N Fathima, N Shah, C Mahima, D Kumar, A Iyengar INTERSPEECH, 2388-2389, 2018 | 8 | 2018 |
| Using large pre-trained models with cross-modal attention for multi-modal emotion recognition DN Krishna arXiv preprint arXiv:2108.09669 2, 2021 | 7 | 2021 |
| Utterance-level code-switching identification using transformer network D Krishna, A Patil WSTCSMC 2020, 53, 2020 | 5 | 2020 |
| A Dual-Decoder Conformer for Multilingual Speech Recognition DN Krishna arXiv, 2021 | 2 | 2021 |
| Identification of Indian Languages using Ghost-VLAD pooling DN Krishna, P Ankita, R MSP, P Sai, G PA arXiv preprint arXiv:2002.01664, 2020 | 2 | 2020 |
| Multi-Modal Speech Emotion Recognition Using Speech Embeddings and Audio Features DN Krishna, SS Reddy AVSP 2019, 2019 | 2 | 2019 |
| Automatic speech recognition for lowresource Manipuri language DN Krishna GPU Technology Conference (GTC), SanJose, California, 26-29, 2018 | 2 | 2018 |
| Fujisaki model parameter estimation: Solution by ‘direct-search’ A Khatwani, DN Krishna, K Pawar, A Sricharan, V Ramasubramanian 2016 IEEE Annual India Conference (INDICON), 1-5, 2016 | 2 | 2016 |
| Phonetically conditioned prosody transplantation for TTS: 2-stage phone-level unit-selection framework M Thippareddy, N Fathima, DN Krishna, A Sricharan, ... Proc. Speech Prosody 2016, 781-785, 2016 | 2 | 2016 |
| Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer DN Krishna CoRR, 2021 | 1 | 2021 |
| Deep Clean: GPU Powered Speech Denoising using Adversarial Learning AI Laxmi Pandey, Nithish Divakar, D N Krishna GPU Technology Conference (GTC'18), 2018 | | 2018 |
| Prosodic differential for narrow-focus word-stress in speech synthesis A Kamat, A Krishnamurthy, DN Krishna, V Ramasubramanian 2017 Twenty-third National Conference on Communications (NCC), 1-6, 2017 | | 2017 |
| Phonetically conditioned prosody generation for TTS: An unsupervised phonetic-to-prosodic mapping framework DN Krishna, MGKN Fathima, M Thippareddy, A Sricharan, ... 2016 IEEE Annual India Conference (INDICON), 1-6, 2016 | | 2016 |
| Anticipating Corporate Misreporting: Leveraging the Slippery Slope Phenomenon and its Predictive Power J Horton, DK Kumar, D Krishna, F Mercado | | |
| MULTIMODAL TRANSFORMERS FOR UTTERANCE-LEVEL CODE-SWITCHING DETECTION DN Krishna | | |
Tanvina PatelGuest Researcher @TUDelft | Post-Doc | Data Scientist (Speech Systems), Cogknit Semantics, BangaloreVerified email at tudelft.nl
