| IoMT and DNN-enabled drone-assisted COVID-19 screening and detection framework for rural areas N Naren, V Chamola, S Baitragunta, A Chintanpalli, P Mishra, ... IEEE Internet of Things Magazine 4 (2), 4-9, 2021 | 41 | 2021 |
| Modeling the anti-masking effects of the olivocochlear reflex in auditory nerve responses to tones in sustained noise A Chintanpalli, SG Jennings, MG Heinz, EA Strickland Journal of the Association for Research in Otolaryngology 13, 219-235, 2012 | 40 | 2012 |
| Effect of auditory-nerve response variability on estimates of tuning curves A Chintanpalli, MG Heinz The Journal of the Acoustical Society of America 122 (6), EL203-EL209, 2007 | 28 | 2007 |
| Advancing remote healthcare using humanoid and affective systems U Tripathi, V Chamola, A Jolfaei, A Chintanpalli IEEE Sensors Journal 22 (18), 17606-17614, 2021 | 21 | 2021 |
| Effects of age and hearing loss on concurrent vowel identification A Chintanpalli, JB Ahlstrom, JR Dubno The Journal of the Acoustical Society of America 140 (6), 4142-4153, 2016 | 20 | 2016 |
| Computational model predictions of cues for concurrent vowel identification A Chintanpalli, JB Ahlstrom, JR Dubno Journal of the Association for Research in Otolaryngology 15, 823-837, 2014 | 20 | 2014 |
| The use of confusion patterns to evaluate the neural basis for concurrent vowel identification A Chintanpalli, MG Heinz The Journal of the Acoustical Society of America 134 (4), 2988-3000, 2013 | 20 | 2013 |
| Modeling the level-dependent changes of concurrent vowel scores H Settibhaktini, A Chintanpalli The Journal of the Acoustical Society of America 143 (1), 440-449, 2018 | 6 | 2018 |
| Modeling concurrent vowel identification for shorter durations H Settibhaktini, A Chintanpalli Speech Communication 125, 1-6, 2020 | 5 | 2020 |
| A real time wavelet filtering for ECG baseline wandering removal A Malhotra, A Chintanpalli 2020 International Conference on Artificial Intelligence and Signal …, 2020 | 4 | 2020 |
| Level-dependent changes in concurrent vowel scores using the multi-layer perceptron A Joshi, AK Chintanpalli Modelling, Simulation and Intelligent Computing: Proceedings of MoSICom 2020 …, 2020 | 3 | 2020 |
| Concurrent vowel identification using the deep neural network V Prasad, AK Chintanpalli Machine Learning and Big Data Analytics (Proceedings of International …, 2022 | 2 | 2022 |
| Modeling the effects of age and hearing loss on concurrent vowel scores H Settibhaktini, MG Heinz, A Chintanpalli The Journal of the Acoustical Society of America 150 (5), 3581-3592, 2021 | 2 | 2021 |
| Revisiting models of concurrent vowel identification: the critical case of no pitch differences SS Smith, A Chintanpalli, MG Heinz, CJ Sumner Acta Acustica united with Acustica 104 (5), 922-925, 2018 | 2 | 2018 |
| Modeling concurrent vowel scores using the time delay neural network and multitask learning AA Joshi, H Settibhaktini, A Chintanpalli IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2452-2459, 2022 | 1 | 2022 |
| Computational model predictions of level dependent changes in vowel identification A Chintanpalli, S Raghotham IET Digital Library, 2016 | 1 | 2016 |
| Evaluating the neural basis for concurrent vowel identification in dry and reverberant conditions A Chintanpalli | 1 | 2011 |
| The use of confusion patterns to evaluate the neural basis for concurrent vowel identification. A Chintanpalli, MG Heinz The Journal of the Acoustical Society of America 127 (3_Supplement), 1991-1991, 2010 | 1 | 2010 |
| Predicting Level-dependent changes in Concurrent Vowel Scores using the 2D-CNN models A Malik, N Agarwal, H Settibhaktini, A Chintanpalli IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | | 2023 |
| Computational model predictions of level dependent changes in vowel identification with addition of rate-place cue P Misra, A Chintanpalli 2017 4th International Conference on Signal Processing, Computing and …, 2017 | | 2017 |
