| Small-footprint keyword spotting using deep neural networks G Chen, C Parada, G Heigold 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 626 | 2014 |
| Convolutional neural networks for small-footprint keyword spotting T Sainath, C Parada | 603 | 2015 |
| 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 | 471* | 2023 |
| 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 | 193 | 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 | 187 | 2015 |
| 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 | 124 | 2022 |
| Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection. R Zazo, TN Sainath, G Simko, C Parada Interspeech, 3668-3672, 2016 | 119 | 2016 |
| 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 | 113 | 2009 |
| Locally-connected and convolutional neural networks for small footprint speaker recognition Y Chen, IL Moreno, T Sainath, M Visontai, R Alvarez, C Parada | 108 | 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 | 98 | 2010 |
| 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 | 94 | 2015 |
| Compressing deep neural networks using a rank-constrained topology P Nakkiran, R Alvarez, R Prabhavalkar, C Parada | 89 | 2015 |
| 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 | 86 | 2017 |
| A spoken term detection framework for recovering out-of-vocabulary words using the web C Parada, A Sethy, M Dredze, F Jelinek Eleventh Annual Conference of the International Speech Communication Association, 2010 | 60 | 2010 |
| Improved End-of-Query Detection for Streaming Speech Recognition. M Shannon, G Simko, SY Chang, C Parada Interspeech, 1909-1913, 2017 | 43 | 2017 |
| 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 | 38 | 2010 |
| OOV sensitive named-entity recognition in speech C Parada, M Dredze, F Jelinek Twelfth Annual Conference of the International Speech Communication Association, 2011 | 36 | 2011 |
| Endpoint Detection Using Grid Long Short-Term Memory Networks for Streaming Speech Recognition. SY Chang, B Li, TN Sainath, G Simko, C Parada Interspeech, 3812-3816, 2017 | 34 | 2017 |
| Learning sub-word units for open vocabulary speech recognition C Parada, M Dredze, A Sethy, A Rastrow Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 32 | 2011 |
