| Scalable distributed DNN training using commodity GPU cloud computing N Ström | 537 | 2015 |
| Method and system for selecting grammars based on geographic information associated with a caller N Strom US Patent 7,630,900, 2009 | 331 | 2009 |
| Histogram grammar weighting and error corrective training of grammar weights N Ström, N Kibre US Patent 6,985,862, 2006 | 239 | 2006 |
| Coarticulated concatenated speech SJ Bailey, N Strom US Patent 6,873,952, 2005 | 211 | 2005 |
| Adding audio effects to spoken utterance N Strom US Patent 7,644,000, 2010 | 193 | 2010 |
| Transmission of noise parameters for improving automatic speech recognition RP Thomas, N Strom US Patent 8,983,844, 2015 | 146 | 2015 |
| Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting M Sun, A Raju, G Tucker, S Panchapagesan, G Fu, A Mandal, ... 2016 IEEE Spoken Language Technology Workshop (SLT), 474-480, 2016 | 121 | 2016 |
| Compressed time delay neural network for small-footprint keyword spotting M Sun, D Snyder, Y Gao, V Nagaraja, M Rodehorst, S Panchapagesan, ... | 119 | 2017 |
| Speech recognizer with multi-directional decoding MME Bisani, N Strom, B Hoffmeister, RP Thomas US Patent 9,286,897, 2016 | 99 | 2016 |
| Distributed endpointing for speech recognition HE Secker-Walker, KJ Basye, N Strom, RP Thomas US Patent 9,818,407, 2017 | 94 | 2017 |
| Lessons from building acoustic models with a million hours of speech SHK Parthasarathi, N Strom ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 84 | 2019 |
| Phoneme probability estimation with dynamic sparsely connected artificial neural networks N Ström The Free Speech Journal 5 (1-41), 2, 1997 | 74 | 1997 |
| The Waxholm system-a progress report J Bertenstam, J Beskow, M Blomberg, R Carlson, K Elenius, B Granström, ... Spoken Dialogue Systems-Theories and Applications, 1995 | 62 | 1995 |
| Robust i-vector based adaptation of DNN acoustic model for speech recognition S Garimella, A Mandal, N Ström, B Hoffmeister, S Matsoukas, ... | 59 | 2015 |
| Identifying candidate passwords from captured audio RP Thomas, N Strom US Patent 8,898,064, 2014 | 56 | 2014 |
| Sparse connection and pruning in large dynamic artificial neural networks N Ström Fifth European Conference on Speech Communication and Technology, 1997 | 56 | 1997 |
| Direct modeling of raw audio with dnns for wake word detection K Kumatani, S Panchapagesan, M Wu, M Kim, N Strom, G Tiwari, ... 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 52 | 2017 |
| Parse information encoding in a finite state transducer N Strom, K Ramakrishnan US Patent 8,972,243, 2015 | 47 | 2015 |
| fMLLR based feature-space speaker adaptation of DNN acoustic models SHK Parthasarathi, B Hoffmeister, S Matsoukas, A Mandal, N Ström, ... | 42 | 2015 |
| Audio human verification N Strom, DF Salisbury US Patent 8,036,902, 2011 | 42 | 2011 |
Arindam MandalAmazonΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα amazon.com
