| Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting M Sun, A Raju, G Tucker, S Panchapagesan, G Fu, A Mandal, ... 2016 IEEE Spoken Language Technology Workshop (SLT), 474-480, 2016 | 120 | 2016 |
| On evaluating and comparing conversational agents A Venkatesh, C Khatri, A Ram, F Guo, R Gabriel, A Nagar, R Prasad, ... | 87 | 2017 |
| Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning L Mošner, M Wu, A Raju, SHK Parthasarathi, K Kumatani, S Sundaram, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 54 | 2019 |
| Topic-based evaluation for conversational bots F Guo, A Metallinou, C Khatri, A Raju, A Venkatesh, A Ram arXiv preprint arXiv:1801.03622, 2018 | 52 | 2018 |
| Time-delayed bottleneck highway networks using a DFT feature for keyword spotting J Guo, K Kumatani, M Sun, M Wu, A Raju, N Ström, A Mandal 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 39 | 2018 |
| Speech to semantics: Improve asr and nlu jointly via all-neural interfaces M Rao, A Raju, P Dheram, B Bui, A Rastrow Proc. Interspeech 2020, 876--880, 2020 | 34 | 2020 |
| On evaluating and comparing open domain dialog systems A Venkatesh, C Khatri, A Ram, F Guo, R Gabriel, A Nagar, R Prasad, ... arXiv preprint arXiv:1801.03625, 2018 | 32 | 2018 |
| Data augmentation for robust keyword spotting under playback interference A Raju, S Panchapagesan, X Liu, A Mandal, N Strom arXiv preprint arXiv:1808.00563, 2018 | 31 | 2018 |
| Contextual Language Model Adaptation for Conversational Agents A Raju, B Hedayatnia, L Liu, A Gandhe, C Khatri, A Metallinou, ... Proc Interspeech 2018, 3333-3337, 2018 | 29 | 2018 |
| Scalable multi corpora neural language models for asr A Raju, D Filimonov, G Tiwari, G Lan, A Rastrow Proc. Interspeech 2019, 3910-3914., 2019 | 25 | 2019 |
| Multi-task language modeling for improving speech recognition of rare words CHH Yang, L Liu, A Gandhe, Y Gu, A Raju, D Filimonov, I Bulyko 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 15 | 2021 |
| On joint training with interfaces for spoken language understanding A Raju, M Rao, G Tiwari, P Dheram, B Anderson, Z Zhang, C Lee, B Bui, ... arXiv preprint arXiv:2106.15919, 2021 | 12* | 2021 |
| Do as i mean, not as i say: Sequence loss training for spoken language understanding M Rao, P Dheram, G Tiwari, A Raju, J Droppo, A Rastrow, A Stolcke ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 12 | 2021 |
| Listen with intent: Improving speech recognition with audio-to-intent front-end SN Ray, M Wu, A Raju, P Ghahremani, R Bilgi, M Rao, H Arsikere, ... Proc. Interspeech 2021, 3455--3459, 2021 | 9 | 2021 |
| MTL-SLT: multi-task learning for spoken language tasks Z Huang, M Rao, A Raju, Z Zhang, B Bui, C Lee Proceedings of the 4th Workshop on NLP for Conversational AI, 120-130, 2022 | 7 | 2022 |
| Non-linear dimension reduction of Gabor features for noise-robust ASR HA Gupta, A Raju, A Alwan 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 6 | 2014 |
| Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities P Dheram, M Ramakrishnan, A Raju, IF Chen, B King, K Powell, ... arXiv preprint arXiv:2207.11345, 2022 | 4 | 2022 |
| Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding K Wei, T Tran, FJ Chang, KM Sathyendra, T Muniyappa, J Liu, A Raju, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 4 | 2021 |
| Speech recognition using dialog history B Hedayatnia, A Raju, A Gandhe, CP Khatri, A Rastrow, A Venkatesh, ... US Patent 11,043,214, 2021 | 4 | 2021 |
| The effect of speaking rate, vowel context, and speaker intelligibility on the perception of consonant vowel consonants in noise A Raju, A Alwan The Journal of the Acoustical Society of America 134 (5), 4031-4031, 2013 | 2 | 2013 |
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