| Application of deep belief networks for natural language understanding R Sarikaya, GE Hinton, A Deoras IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (4), 778-784, 2014 | 382 | 2014 |
| Getting started with SUSAS: A speech under simulated and actual stress database JHL Hansen, SE Bou-Ghazale Fifth European Conference on Speech Communication and Technology, 1997 | 344 | 1997 |
| Convolutional neural network based triangular crf for joint intent detection and slot filling P Xu, R Sarikaya 2013 ieee workshop on automatic speech recognition and understanding, 78-83, 2013 | 232 | 2013 |
| Semantic language modeling and confidence measurement ME Epstein, H Erdogan, Y Gao, MA Picheny, R Sarikaya US Patent 7,475,015, 2009 | 229 | 2009 |
| Dialogue evaluation via multiple hypothesis ranking R Sarikaya, D Boies, PA Crook, JP Robichaud US Patent 10,162,813, 2018 | 144* | 2018 |
| Maximum entropy based restoration of Arabic diacritics I Zitouni, J Sorensen, R Sarikaya Proceedings of the 21st International Conference on Computational …, 2006 | 141 | 2006 |
| Wavelet packet transform features with application to speaker identification R Sarikaya, BL Pellom, JHL Hansen Third IEEE Nordic Signal Processing Symposium, 1998 | 138 | 1998 |
| Deep belief nets for natural language call-routing R Sarikaya, GE Hinton, B Ramabhadran 2011 IEEE International conference on acoustics, speech and signal …, 2011 | 128 | 2011 |
| High resolution speech feature parametrization for monophone-based stressed speech recognition R Sarikaya, JHL Hansen IEEE signal processing letters 7 (7), 182-185, 2000 | 110 | 2000 |
| The technology behind personal digital assistants: An overview of the system architecture and key components R Sarikaya IEEE Signal Processing Magazine 34 (1), 67-81, 2017 | 105 | 2017 |
| Assignment of semantic labels to a sequence of words using neural network architectures A Deoras, K Yao, X He, L Deng, GG Zweig, R Sarikaya, D Yu, MY Hwang, ... US Patent App. 14/016,186, 2015 | 99 | 2015 |
| Contextual domain classification in spoken language understanding systems using recurrent neural network P Xu, R Sarikaya 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 82 | 2014 |
| Fast likelihood computation techniques in nearest-neighbor based search for continuous speech recognition BL Pellom, R Sarikaya, JHL Hansen IEEE signal processing letters 8 (8), 221-224, 2001 | 82 | 2001 |
| Rapid language model development using external resources for new spoken dialog domains R Sarikaya, A Gravano, Y Gao Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 81 | 2005 |
| Cross-lingual transfer learning for pos tagging without cross-lingual resources JK Kim, YB Kim, R Sarikaya, E Fosler-Lussier Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 72 | 2017 |
| Communication system P Crook, R Sarikaya US Patent 9,466,297, 2016 | 71 | 2016 |
| On the use of morphological analysis for dialectal Arabic speech recognition M Afify, R Sarikaya, HKJ Kuo, L Besacier, Y Gao Ninth International Conference on Spoken Language Processing, 2006 | 70 | 2006 |
| Deep belief network based semantic taggers for spoken language understanding. A Deoras, R Sarikaya Interspeech, 2713-2717, 2013 | 66 | 2013 |
| Easy contextual intent prediction and slot detection A Bhargava, A Celikyilmaz, D Hakkani-Tür, R Sarikaya 2013 ieee international conference on acoustics, speech and signal …, 2013 | 66 | 2013 |
| Bottleneck features for speaker recognition S Yaman, J Pelecanos, R Sarikaya Odyssey 2012-The Speaker and Language Recognition Workshop, 2012 | 66 | 2012 |
Young-Bum KimAmazon Alexa BrainVerified email at cs.wisc.edu
