| The spoken web search task at MediaEval 2012 F Metze, X Anguera, E Barnard, M Davel, G Gravier 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 87 | 2013 |
| Query-by-Example Spoken Term Detection using Frequency Domain Linear Prediction and Non-segmental Dynamic Time Warping G Mantena, S Achanta, K Prahallad IEEE, 2014 | 77 | 2014 |
| Speed improvements to information retrieval-based dynamic time warping using hierarchical k-means clustering G Mantena, X Anguera 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 45 | 2013 |
| Use of articulatory bottle-neck features for query-by-example spoken term detection in low resource scenarios G Mantena, K Prahallad 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 36 | 2014 |
| Joint acoustic factor learning for robust deep neural network based automatic speech recognition S Kundu, G Mantena, Y Qian, T Tan, M Delcroix, KC Sim 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 33 | 2016 |
| The blizzard challenge 2013–indian language task K Prahallad, A Vadapalli, N Elluru, G Mantena, B Pulugundla, ... Blizzard challenge workshop 2013, 2013 | 33 | 2013 |
| A speech-based conversation system for accessing agriculture commodity prices in Indian languages GV Mantena, S Rajendran, B Rambabu, SV Gangashetty, ... 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays …, 2011 | 31 | 2011 |
| Adaptation of deep neural network acoustic models for robust automatic speech recognition KC Sim, Y Qian, G Mantena, L Samarakoon, S Kundu, T Tan New Era for Robust Speech Recognition: Exploiting Deep Learning, 219-243, 2017 | 17 | 2017 |
| Development of a spoken dialogue system for accessing agricultural information in Telugu GV Mantena, S Rajendran, SV Gangashetty, B Yegnanarayana, ... Proceedings of ICON-2011, 9th international conference on natural language …, 2011 | 15 | 2011 |
| Unsupervised query-by-example spoken term detection using bag of acoustic words and non-segmental dynamic time warping B George, A Saxena, G Mantena, K Prahallad, B Yegnanarayana Fifteenth Annual Conference of the International Speech Communication …, 2014 | 10 | 2014 |
| IIIT-H System for MediaEval 2014 QUESST. S Kesiraju, GV Mantena, K Prahallad MediaEval, 2014 | 9 | 2014 |
| SWS task: Articulatory phonetic units and sliding DTW. GV Mantena, B Bollepalli, K Prahallad MediaEval, 2011 | 9 | 2011 |
| IIIT-H SWS 2013: Gaussian Posteriorgrams of Bottle-Neck Features for Query-by-Example Spoken Term Detection. GV Mantena, K Prahallad MediaEval, 2013 | 8 | 2013 |
| Bandwidth embeddings for mixed-bandwidth speech recognition G Mantena, O Kalinli, O Abdel-Hamid, D McAllaster arXiv preprint arXiv:1909.02667, 2019 | 7 | 2019 |
| Entropy-based pruning of hidden units to reduce DNN parameters G Mantena, KC Sim 2016 IEEE Spoken Language Technology Workshop (SLT), 672-679, 2016 | 7 | 2016 |
| Peri Bhaskararao, Hema A K Prahallad, A Vadapalli, N Elluru, G Mantena, B Pulugundla Murthy, Simon King, Vasilis Karaiskos, and Alan W. Black,“The Blizzard Challenge, 2013 | 6 | 2013 |
| Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models H Su, TY Hu, HS Koppula, R Vemulapalli, JHR Chang, K Yang, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
| Query-by-example spoken term detection on low resource languages G Mantena Ph. D. dissertation, International Institute of Information Technology-Hyderabad, 2015 | 3 | 2015 |
| Use of GPU and Feature Reduction for Fast Query-by-Example Spoken Term Detection G Mantena, K Prahallad Proceedings of the 11th International Conference on Natural Language …, 2014 | 2 | 2014 |
| Hypernetworks for Personalizing ASR to Atypical Speech M Müller-Eberstein, D Yee, K Yang, GV Mantena, C Lea arXiv preprint arXiv:2406.04240, 2024 | | 2024 |
Kishore PrahalladAssociate Professor, IIIT Hyderabad, IndiaDirección de correo verificada de iiit.ac.in