| On Training Targets For Supervised Speech Separation Y Wang, A Narayanan, DL Wang | 1109 | 2014 |
| Ideal Ratio Mask Estimation Using Deep Neural Networks for Robust Speech Recognition A Narayanan, DL Wang Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013 | 601 | 2013 |
| 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 | 247 | 2017 |
| Generation of large-scale simulated utterances in virtual rooms to train deep-neural networks for far-field speech recognition in Google Home C Kim, A Misra, K Chin, T Hughes, A Narayanan, T Sainath, M Bacchiani | 247 | 2017 |
| A streaming on-device end-to-end model surpassing server-side conventional model quality and latency TN Sainath, Y He, B Li, A Narayanan, R Pang, A Bruguier, S Chang, W Li, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 201 | 2020 |
| Acoustic Modeling for Google Home. B Li, TN Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, ... Interspeech, 399-403, 2017 | 189 | 2017 |
| Processing multi-channel audio waveforms TN Sainath, RJ Weiss, KW Wilson, AW Senior, A Narayanan, Y Hoshen, ... US Patent 9,697,826, 2017 | 181 | 2017 |
| From audio to semantics: Approaches to end-to-end spoken language understanding P Haghani*, A Narayanan*, M Bacchiani, G Chuang, N Gaur, P Moreno, ... 2018 IEEE Spoken Language Technology Workshop (SLT), 720-726, 2018 | 152 | 2018 |
| Investigation of speech separation as a front-end for noise robust speech recognition A Narayanan, DL Wang IEEE, 2014 | 147 | 2014 |
| Sound source estimation using neural networks C Kim, RC Nongpiur, A Narayanan US Patent 10,063,965, 2018 | 146 | 2018 |
| Recognizing long-form speech using streaming end-to-end models A Narayanan, R Prabhavalkar, CC Chiu, D Rybach, TN Sainath, ... 2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019 | 124 | 2019 |
| Joint noise adaptive training for robust automatic speech recognition A Narayanan, DL Wang International conference on acoustics, speech, and signal processing (ICASSP), 2014 | 108 | 2014 |
| A better and faster end-to-end model for streaming asr B Li, A Gulati, J Yu, TN Sainath, CC Chiu, A Narayanan, SY Chang, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 99 | 2021 |
| Toward domain-invariant speech recognition via large scale training A Narayanan, A Misra, KC Sim, G Pundak, A Tripathi, M Elfeky, P Haghani, ... 2018 IEEE Spoken Language Technology Workshop (SLT), 441-447, 2018 | 98 | 2018 |
| Speaker Location and Microphone Spacing Invariant Acoustic Modeling from Raw Multichannel Wwaveforms TN Sainath, RJ Weiss, KW Wilson, A Narayanan, M Bacchiani, A Senior | 91 | 2015 |
| Factored spatial and spectral multichannel raw waveform CLDNNs TN Sainath, RJ Weiss, KW Wilson, A Narayanan, M Bacchiani 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 80 | 2016 |
| Improving robustness of deep neural network acoustic models via speech separation and joint adaptive training A Narayanan, DL Wang IEEE/ACM transactions on audio, speech, and language processing 23 (1), 92-101, 2014 | 80 | 2014 |
| Fastemit: Low-latency streaming asr with sequence-level emission regularization J Yu, CC Chiu, B Li, S Chang, TN Sainath, Y He, A Narayanan, W Han, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 79 | 2021 |
| A comparison of end-to-end models for long-form speech recognition CC Chiu, W Han, Y Zhang, R Pang, S Kishchenko, P Nguyen, ... 2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019 | 72 | 2019 |
| 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 | 65 | 2021 |
Tara SainathPrincipal Research Scientist, GoogleDirección de correo verificada de google.com
