| Neural Network Bottleneck Features for Language Identification. P Matejka, L Zhang, T Ng, O Glembek, JZ Ma, B Zhang, SH Mallidi Odyssey, 2014 | 150 | 2014 |
| Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling J Cho, MK Baskar, R Li, M Wiesner, SH Mallidi, N Yalta, M Karafiat, ... 2018 IEEE Spoken Language Technology Workshop (SLT), 521-527, 2018 | 90 | 2018 |
| Robust feature extraction using modulation filtering of autoregressive models S Ganapathy, SH Mallidi, H Hermansky IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (8), 1285 …, 2014 | 55 | 2014 |
| Developing a speaker identification system for the DARPA RATS project O Plchot, S Matsoukas, P Matějka, N Dehak, J Ma, S Cumani, O Glembek, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 45 | 2013 |
| Robust speech recognition in unknown reverberant and noisy conditions R Hsiao, J Ma, W Hartmann, M Karafiát, F Grézl, L Burget, I Szöke, ... 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 43 | 2015 |
| Device-directed utterance detection SH Mallidi, R Maas, K Goehner, A Rastrow, S Matsoukas, B Hoffmeister arXiv preprint arXiv:1808.02504, 2018 | 37 | 2018 |
| Uncertainty estimation of DNN classifiers SH Mallidi, T Ogawa, H Hermansky 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 32 | 2015 |
| Novel neural network based fusion for multistream ASR SH Mallidi, H Hermansky 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 29 | 2016 |
| Analysis of laugh signals for detecting in continuous speech. KS Kumar, SHR Mallidi, KSR Murty, B Yegnanarayana Interspeech, 1591-1594, 2009 | 27 | 2009 |
| Improving ASR Confidence Scores for Alexa Using Acoustic and Hypothesis Embeddings. P Swarup, R Maas, S Garimella, SH Mallidi, B Hoffmeister Interspeech, 2175-2179, 2019 | 24 | 2019 |
| Autoencoder based multi-stream combination for noise robust speech recognition SH Mallidi, T Ogawa, K Veselý, PS Nidadavolu, H Hermansky Sixteenth Annual Conference of the International Speech Communication …, 2015 | 24 | 2015 |
| Stream attention-based multi-array end-to-end speech recognition X Wang, R Li, SH Mallidi, T Hori, S Watanabe, H Hermansky ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| BAT System Description for NIST LRE 2015. O Plchot, P Matejka, O Glembek, R Fer, O Novotný, J Pesan, L Burget, ... Odyssey, 166-173, 2016 | 21 | 2016 |
| Acoustic and data-driven features for robust speech activity detection S Thomas, SH Mallidi, T Janu, H Hermansky, N Mesgarani, X Zhou, ... Thirteenth Annual Conference of the International Speech Communication …, 2012 | 21 | 2012 |
| On the relevance of auditory-based Gabor features for deep learning in robust speech recognition AMC Martinez, SH Mallidi, BT Meyer Computer Speech & Language 45, 21-38, 2017 | 20 | 2017 |
| On the relevance of auditory-based Gabor features for deep learning in robust speech recognition AMC Martinez, SH Mallidi, BT Meyer Computer Speech & Language 45, 21-38, 2017 | 20 | 2017 |
| Performance monitoring for automatic speech recognition in noisy multi-channel environments BT Meyer, SH Mallidi, AMC Martinez, G Payá-Vayá, H Kayser, ... 2016 IEEE Spoken Language Technology Workshop (SLT), 50-56, 2016 | 20 | 2016 |
| Multi-stream end-to-end speech recognition R Li, X Wang, SH Mallidi, S Watanabe, T Hori, H Hermansky IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 646-655, 2019 | 17 | 2019 |
| A Study for Improving Device-Directed Speech Detection Toward Frictionless Human-Machine Interaction. CW Huang, R Maas, SH Mallidi, B Hoffmeister INTERSPEECH, 3342-3346, 2019 | 17 | 2019 |
| The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. PA Torres-Carrasquillo, F Richardson, SC Nercessian, DE Sturim, ... Interspeech, 1333-1337, 2017 | 17 | 2017 |
Hynek HermanskyJulian S. Smith Professor in Electrical Engineering, The Johns Hopkins UniversityVerified email at jhu.edu
