| 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 | 1406 | 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 | 287 | 2017 |
| Acoustic Modeling for Google Home. B Li, TN Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, ... Interspeech, 399-403, 2017 | 208 | 2017 |
| Hybrid autoregressive transducer (hat) E Variani, D Rybach, C Allauzen, M Riley ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 175 | 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 | 125 | 2019 |
| Speaker verification using neural networks X Lei, E McDermott, E Variani, IL Moreno US Patent 9,401,148, 2016 | 94 | 2016 |
| 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 | 91 | 2021 |
| 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 | 79 | 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 | 72 | 2013 |
| An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. TN Sainath, Y He, A Narayanan, R Botros, R Pang, D Rybach, C Allauzen, ... Interspeech 8, 1777-1781, 2021 | 48 | 2021 |
| Complex linear projection (CLP): A discriminative approach to joint feature extraction and acoustic modeling. E Variani, TN Sainath, I Shafran, M Bacchiani INTERSPEECH, 808-812, 2016 | 37 | 2016 |
| Exponential modeling with deep learning features M Weintraub, AT Suresh, E Variani US Patent 11,568,260, 2023 | 35 | 2023 |
| Enhanced multi-channel acoustic models E Variani, KW Wilson, RJ Weiss, TN Sainath, A Narayanan US Patent 10,224,058, 2019 | 31 | 2019 |
| End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow. E Variani, T Bagby, E McDermott, M Bacchiani Interspeech, 1641-1645, 2017 | 31 | 2017 |
| Complex linear projection for acoustic modeling S Bengio, M Visontai, CWG Thornton, MAU Bacchiani, TN Sainath, ... US Patent 10,140,980, 2018 | 30 | 2018 |
| Modular hybrid autoregressive transducer Z Meng, T Chen, R Prabhavalkar, Y Zhang, G Wang, K Audhkhasi, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 197-204, 2023 | 27 | 2023 |
| Multi-stream recognition of noisy speech with performance monitoring. E Variani, F Li, H Hermansky Interspeech, 2978-2981, 2013 | 24 | 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, ... Interspeech, 1971-1975, 2016 | 21 | 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 | 20 | 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 | 19 | 2017 |
Erik McDermottMachine Learning Researcher, Apple Inc.Verified email at apple.com