| Deep neural networks for small footprint text-dependent speaker verification E Variani, X Lei, E McDermott, IL Moreno, J Gonzalez-Dominguez 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 1106 | 2014 |
| Multichannel signal processing with deep neural networks for automatic speech recognition TN Sainath, RJ Weiss, KW Wilson, B Li, A Narayanan, E Variani, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (5), 965-979, 2017 | 231 | 2017 |
| Acoustic Modeling for Google Home. B Li, TN Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, ... Interspeech, 399-403, 2017 | 177 | 2017 |
| Hybrid autoregressive transducer (hat) E Variani, D Rybach, C Allauzen, M Riley ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 104 | 2020 |
| A density ratio approach to language model fusion in end-to-end automatic speech recognition E McDermott, H Sak, E Variani 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 82 | 2019 |
| A Gaussian mixture model layer jointly optimized with discriminative features within a deep neural network architecture E Variani, E McDermott, G Heigold 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 65 | 2015 |
| Mean temporal distance: Predicting ASR error from temporal properties of speech signal H Hermansky, E Variani, V Peddinti 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 61 | 2013 |
| Cascaded encoders for unifying streaming and non-streaming ASR A Narayanan, TN Sainath, R Pang, J Yu, CC Chiu, R Prabhavalkar, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 57 | 2021 |
| Speaker verification using neural networks X Lei, E McDermott, E Variani, IL Moreno US Patent 9,401,148, 2016 | 50 | 2016 |
| Complex linear projection (CLP): A discriminative approach to joint feature extraction and acoustic modeling E Variani, TN Sainath, I Shafran, M Bacchiani | 36 | 2016 |
| An efficient streaming non-recurrent on-device end-to-end model with improvements to rare-word modeling TN Sainath, YR He, A Narayanan, R Botros, R Pang, DJ Rybach, ... | 31 | 2021 |
| Complex linear projection for acoustic modeling S Bengio, M Visontai, CWG Thornton, MAU Bacchiani, TN Sainath, ... US Patent 10,140,980, 2018 | 29 | 2018 |
| End-to-end training of acoustic models for large vocabulary continuous speech recognition with tensorflow E Variani, T Bagby, E McDermott, M Bacchiani | 29 | 2017 |
| Enhanced multi-channel acoustic models E Variani, KW Wilson, RJ Weiss, TN Sainath, A Narayanan US Patent 10,224,058, 2019 | 26 | 2019 |
| Multi-stream recognition of noisy speech with performance monitoring. E Variani, F Li, H Hermansky Interspeech, 2978-2981, 2013 | 23 | 2013 |
| Reducing the computational complexity of multimicrophone acoustic models with integrated feature extraction TN Sainath, A Narayanan, RJ Weiss, E Variani, KW Wilson, M Bacchiani, ... | 19 | 2016 |
| Efficient implementation of the room simulator for training deep neural network acoustic models C Kim, E Variani, A Narayanan, M Bacchiani arXiv preprint arXiv:1712.03439, 2017 | 14 | 2017 |
| Raw multichannel processing using deep neural networks TN Sainath, RJ Weiss, KW Wilson, A Narayanan, M Bacchiani, B Li, ... New Era for Robust Speech Recognition: Exploiting Deep Learning, 105-133, 2017 | 14 | 2017 |
| Exponential modeling with deep learning features M Weintraub, AT Suresh, E Variani US Patent 11,568,260, 2023 | 10 | 2023 |
| Multichannel speech recognition using neural networks E Variani, KW Wilson, RJ Weiss, TN Sainath, A Narayanan US Patent 11,062,725, 2021 | 10 | 2021 |
Erik McDermottMachine Learning Researcher, Apple Inc.Verified email at apple.com
