| Curriculum learning based approach for noise robust language identification using DNN with attention RK Vuddagiri, HK Vydana, AK Vuppala Expert Systems with Applications 110, 290-297, 2018 | 38 | 2018 |
| Jointly trained transformers models for spoken language translation HK Vydana, M Karafiát, K Zmolikova, L Burget, H Černocký ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 28 | 2021 |
| Vowel-based non-uniform prosody modification for emotion conversion HK Vydana, SR Kadiri, AK Vuppala Circuits, Systems, and Signal Processing 35, 1643-1663, 2016 | 28 | 2016 |
| Significance of GMM-UBM based modelling for Indian language identification VR Kumar, HK Vydana, AK Vuppala Procedia Computer Science 54, 231-236, 2015 | 28 | 2015 |
| Investigative study of various activation functions for speech recognition HK Vydana, AK Vuppala 2017 Twenty-third National Conference on Communications (NCC), 1-5, 2017 | 26 | 2017 |
| IIITH-ILSC Speech Database for Indain Language Identification. RK Vuddagiri, K Gurugubelli, P Jain, HK Vydana, AK Vuppala SLTU, 56-60, 2018 | 24 | 2018 |
| Residual neural networks for speech recognition HK Vydana, AK Vuppala 2017 25th European Signal Processing Conference (EUSIPCO), 543-547, 2017 | 24 | 2017 |
| Bayesian subspace hidden Markov model for acoustic unit discovery L Ondel, HK Vydana, L Burget, J Černocký arXiv preprint arXiv:1904.03876, 2019 | 23 | 2019 |
| Significance of neural phonotactic models for large-scale spoken language identification BML Srivastava, H Vydana, AK Vuppala, M Shrivastava 2017 International Joint Conference on Neural Networks (IJCNN), 2144-2151, 2017 | 22 | 2017 |
| An Exploration towards Joint Acoustic Modeling for Indian Languages: IIIT-H Submission for Low Resource Speech Recognition Challenge for Indian Languages, INTERSPEECH 2018. HK Vydana, K Gurugubelli, VVR Vegesna, AK Vuppala INTERSPEECH, 3192-3196, 2018 | 20 | 2018 |
| Improved emotion recognition using GMM-UBMs HK Vydana, PP Kumar, KSR Krishna, AK Vuppala 2015 International Conference on Signal Processing and Communication …, 2015 | 20 | 2015 |
| Dnn-hmm acoustic modeling for large vocabulary telugu speech recognition VVR Vegesna, K Gurugubelli, HK Vydana, B Pulugandla, M Shrivastava, ... Mining Intelligence and Knowledge Exploration: 5th International Conference …, 2017 | 18 | 2017 |
| Improved Language Identification Using Stacked SDC Features and Residual Neural Network. RK Vuddagiri, HK Vydana, AK Vuppala SLTU, 210-214, 2018 | 16 | 2018 |
| Detection of emotionally significant regions of speech for emotion recognition HK Vydana, P Vikash, T Vamsi, KP Kumar, AK Vuppala 2015 Annual IEEE India Conference (INDICON), 1-6, 2015 | 15 | 2015 |
| Detection of fricatives using S-transform HK Vydana, AK Vuppala The Journal of the Acoustical Society of America 140 (5), 3896-3907, 2016 | 13 | 2016 |
| Improved language identification in presence of speech coding RK Vuddagiri, HK Vydana, JV Bhupathiraju, SV Gangashetty, AK Vuppala Mining Intelligence and Knowledge Exploration: Third International …, 2015 | 8 | 2015 |
| BUT Opensat 2019 speech recognition system M Karafiát, MK Baskar, I Szöke, HK Vydana, K Veselý, J Černocký arXiv preprint arXiv:2001.11360, 2020 | 7 | 2020 |
| An investigation of LSTM-CTC based joint acoustic model for Indian language identification T Mandava, RK Vuddagiri, HK Vydana, AK Vuppala 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 7 | 2019 |
| Significance of emotionally significant regions of speech for emotive to neutral conversion HK Vydana, VVV Raju, SV Gangashetty, AK Vuppala Mining Intelligence and Knowledge Exploration: Third International …, 2015 | 7 | 2015 |
| Multi-head self-attention networks for language identification RK Vuddagiri, T Mandava, HK Vydana, AK Vuppala 2019 Twelfth international conference on contemporary computing (IC3), 1-5, 2019 | 6 | 2019 |
Anil Kumar VuppalaAssociate Professor, LTRC, IIIT HyderabadVerified email at iiit.ac.in
