| Do as i can, not as i say: Grounding language in robotic affordances A Brohan, Y Chebotar, C Finn, K Hausman, A Herzog, D Ho, J Ibarz, ... Conference on robot learning, 287-318, 2023 | 1765* | 2023 |
| Rt-1: Robotics transformer for real-world control at scale A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ... arXiv preprint arXiv:2212.06817, 2022 | 800 | 2022 |
| Small-footprint keyword spotting using deep neural networks G Chen, C Parada, G Heigold 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 699 | 2014 |
| Convolutional neural networks for small-footprint keyword spotting. TN Sainath, C Parada Interspeech, 1478-1482, 2015 | 654 | 2015 |
| Personalized speech recognition on mobile devices I McGraw, R Prabhavalkar, R Alvarez, MG Arenas, K Rao, D Rybach, ... 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 228 | 2016 |
| Query-by-example keyword spotting using long short-term memory networks G Chen, C Parada, TN Sainath 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 209 | 2015 |
| Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection. R Zazo, TN Sainath, G Simko, C Parada Interspeech, 3668-3672, 2016 | 129 | 2016 |
| Locally-connected and convolutional neural networks for small footprint speaker recognition Y Chen, IL Moreno, T Sainath, M Visontai, R Alvarez, C Parada | 129 | 2015 |
| Query-by-example spoken term detection for OOV terms C Parada, A Sethy, B Ramabhadran 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 404-409, 2009 | 117 | 2009 |
| Keyword spotting for Google assistant using contextual speech recognition AH Michaely, X Zhang, G Simko, C Parada, P Aleksic 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 112 | 2017 |
| Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks R Prabhavalkar, R Alvarez, C Parada, P Nakkiran, TN Sainath 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 107 | 2015 |
| Contextual information improves OOV detection in speech C Parada, M Dredze, D Filimonov, F Jelinek Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 101 | 2010 |
| Compressing deep neural networks using a rank-constrained topology. P Nakkiran, R Alvarez, R Prabhavalkar, C Parada INTERSPEECH, 1473-1477, 2015 | 98 | 2015 |
| A spoken term detection framework for recovering out-of-vocabulary words using the web C Parada, A Sethy, M Dredze, F Jelinek Paragraph 10 (71.24), 323K, 2010 | 61 | 2010 |
| Improved End-of-Query Detection for Streaming Speech Recognition. M Shannon, G Simko, SY Chang, C Parada Interspeech, 1909-1913, 2017 | 52 | 2017 |
| Learning model predictive controllers with real-time attention for real-world navigation AG Francis, C Parada, D Kalashnikov, E Lee, F Xia, J Varley, J Tan, ... CoRL, 2022 | 47* | 2022 |
| Barkour: Benchmarking animal-level agility with quadruped robots K Caluwaerts, A Iscen, JC Kew, W Yu, T Zhang, D Freeman, KH Lee, ... arXiv preprint arXiv:2305.14654, 2023 | 41 | 2023 |
| Balancing false alarms and hits in spoken term detection C Parada, A Sethy, B Ramabhadran 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 41 | 2010 |
| Query language modeling for voice search C Chelba, J Schalkwyk, T Brants, V Ha, B Harb, W Neveitt, C Parada, ... 2010 IEEE Spoken Language Technology Workshop, 127-132, 2010 | 39 | 2010 |
| OOV sensitive named-entity recognition in speech C Parada, M Dredze, F Jelinek Twelfth Annual Conference of the International Speech Communication Association, 2011 | 38 | 2011 |
