| Neural Network Bottleneck Features for Language Identification. P Matejka, Le Zhang 0002, T Ng, O Glembek, JZ Ma, B Zhang, SH Mallidi Odyssey, 2014 | 170 | 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 | 157 | 2018 |
| Wav2vec-c: A self-supervised model for speech representation learning S Sadhu, D He, CW Huang, SH Mallidi, M Wu, A Rastrow, A Stolcke, ... arXiv preprint arXiv:2103.08393, 2021 | 61 | 2021 |
| Device-directed utterance detection SH Mallidi, R Maas, K Goehner, A Rastrow, S Matsoukas, B Hoffmeister arXiv preprint arXiv:1808.02504, 2018 | 61 | 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 | 60 | 2014 |
| Detecting system-directed speech RMR Maas, SHR Mallidi, S Matsoukas, B Hoffmeister US Patent 11,361,763, 2022 | 57 | 2022 |
| 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 | 49 | 2015 |
| 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 | 48 | 2013 |
| Improving ASR confidence scores for Alexa using acoustic and hypothesis embeddings P Swarup, R Maas, S Garimella, SH Mallidi, B Hoffmeister | 46 | 2019 |
| Novel neural network based fusion for multistream ASR SH Mallidi, H Hermansky 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 36 | 2016 |
| Uncertainty estimation of DNN classifiers SH Mallidi, T Ogawa, H Hermansky 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 33 | 2015 |
| 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 | 30 | 2019 |
| 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 | 30 | 2017 |
| Analysis of laugh signals for detecting in continuous speech K Sudheer Kumar, M Sri Harish Reddy, K Sri Rama Murty, ... Proc. Interspeech 2009, 1591-1594, 2009 | 30 | 2009 |
| 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 | 28 | 2019 |
| Autoencoder based multi-stream combination for noise robust speech recognition. SHR Mallidi, T Ogawa, K Veselý, PS Nidadavolu, H Hermansky Interspeech, 3551-3555, 2015 | 28 | 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 | 27 | 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 | 25 | 2016 |
| 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 | 23 | 2016 |
| Acoustic and Data-driven Features for Robust Speech Activity Detection. S Thomas, SHR Mallidi, T Janu, H Hermansky, N Mesgarani, X Zhou, ... INTERSPEECH, 1985-1988, 2012 | 22 | 2012 |
Hynek HermanskyScientific Staff, Brno University of Technology, Professor Emeritus, The Johns Hopkins University確認したメール アドレス: jhu.edu
