| Multi-task learning and Weighted Cross-entropy for DNN-based Keyword Spotting S Panchapagesan, M Sun, A Khare, S Matsoukas, A Mandal, ... Interspeech 2016, 760-764, 2016 | 182 | 2016 |
| Compressed time delay neural network for small-footprint keyword spotting M Sun, D Snyder, Y Gao, V Nagaraja, M Rodehorst, S Panchapagesan, ... Proc. Interspeech, 3607-3611, 2017 | 142 | 2017 |
| 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, ... Spoken Language Technology Workshop (SLT), 2016 IEEE, 474-480, 2016 | 141 | 2016 |
| Error tolerant neural network model compression B Liu, MR Bastian, B Hoffmeister, S Panchapagesan, A Rastrow US Patent 10,229,356, 2019 | 134 | 2019 |
| Model compression applied to small-footprint keyword spotting G Tucker, M Wu, M Sun, S Panchapagesan, G Fu, S Vitaladevuni Proc. Interspeech, 2016 | 107 | 2016 |
| MONOPHONE-BASED BACKGROUND MODELING FOR TWO-STAGE ON-DEVICE WAKE WORD DETECTION M Wu, S Panchapagesan, M Sun, J Gu, R Thomas, SNP Vitaladevuni, ... | 92* | |
| 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 | 63 | 2017 |
| Keyword spotting using multi-task configuration S Panchapagesan, B Hoffmeister, A Mandal, A Khare, SNP Vitaladevuni, ... US Patent 10,304,440, 2019 | 61 | 2019 |
| Efficient Knowledge Distillation for RNN-Transducer Models S Panchapagesan, DS Park, CC Chiu, Y Shangguan, Q Liang, ... arXiv preprint arXiv:2011.06110, 2020 | 59 | 2020 |
| Trigger word detection using neural network waveform processing A Mandal, N Strom, K Kumatani, S Panchapagesan US Patent 10,847,137, 2020 | 54 | 2020 |
| Wireless command microphone management for voice controlled surgical system M Contolini, T Applebaum, S Panchapagesan US Patent 9,549,717, 2017 | 53 | 2017 |
| Frequency warping for VTLN and speaker adaptation by linear transformation of standard MFCC S Panchapagesan, A Alwan Computer speech & language 23 (1), 42-64, 2009 | 53 | 2009 |
| A study of acoustic-to-articulatory inversion of speech by analysis-by-synthesis using chain matrices and the Maeda articulatory model S Panchapagesan, A Alwan The Journal of the Acoustical Society of America 129 (4), 2144-2162, 2011 | 42 | 2011 |
| Data Augmentation for Robust Keyword Spotting under Playback Interference A Raju, S Panchapagesan, X Liu, A Mandal, N Strom arXiv preprint arXiv:1808.00563, 2018 | 41 | 2018 |
| Voice control system with multiple microphone arrays M Contolini, T Applebaum, S Panchapagesan US Patent App. 10/009,676, 2018 | 25 | 2018 |
| Voice Control System with Multiple Microphone Arrays M Contolini, T Applebaum, S Panchapagesan US Patent App. 14/531,798, 2014 | 25* | 2014 |
| Robust neural network acoustic model with side task prediction of reference signals S Panchapagesan, SK Sundaram, A Mandal US Patent 10,147,442, 2018 | 20 | 2018 |
| Frequency warping by linear transformation of standard MFCC. S Panchapagesan Interspeech, 397-401, 2006 | 18 | 2006 |
| Multi-parameter frequency warping for VTLN by gradient search S Panchapagesan, A Alwan Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 …, 2006 | 17 | 2006 |
| SNRi Target Training for Joint Speech Enhancement and Recognition Y Koizumi, S Karita, A Narayanan, S Panchapagesan, M Bacchiani arXiv preprint arXiv:2111.00764, 2021 | 16 | 2021 |
