| End-to-end neural transformer based spoken language understanding M Radfar, A Mouchtaris, S Kunzmann arXiv preprint arXiv:2008.10984, 2020 | 66 | 2020 |
| Context-aware transformer transducer for speech recognition FJ Chang, J Liu, M Radfar, A Mouchtaris, M Omologo, A Rastrow, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 64 | 2021 |
| Speech emotion recognition using quaternion convolutional neural networks A Muppidi, M Radfar ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 50 | 2021 |
| Tie your embeddings down: Cross-modal latent spaces for end-to-end spoken language understanding B Agrawal, M Müller, S Choudhary, M Radfar, A Mouchtaris, R McGowan, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 39 | 2022 |
| End-to-end multi-channel transformer for speech recognition FJ Chang, M Radfar, A Mouchtaris, B King, S Kunzmann ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 35 | 2021 |
| Encoding syntactic knowledge in transformer encoder for intent detection and slot filling J Wang, K Wei, M Radfar, W Zhang, C Chung Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 13943 …, 2021 | 28 | 2021 |
| Multi-channel transformer transducer for speech recognition FJ Chang, M Radfar, A Mouchtaris, M Omologo arXiv preprint arXiv:2108.12953, 2021 | 19 | 2021 |
| Convrnn-t: Convolutional augmented recurrent neural network transducers for streaming speech recognition M Radfar, R Barnwal, RV Swaminathan, FJ Chang, GP Strimel, N Susanj, ... arXiv preprint arXiv:2209.14868, 2022 | 14 | 2022 |
| Fans: Fusing asr and nlu for on-device slu M Radfar, A Mouchtaris, S Kunzmann, A Rastrow arXiv preprint arXiv:2111.00400, 2021 | 10 | 2021 |
| Compute cost amortized transformer for streaming asr Y Xie, J Macoskey, M Radfar, FJ Chang, B King, A Rastrow, A Mouchtaris, ... arXiv preprint arXiv:2207.02393, 2022 | 8 | 2022 |
| Sub-8-bit quantization for on-device speech recognition: A regularization-free approach K Zhen, M Radfar, H Nguyen, GP Strimel, N Susanj, A Mouchtaris 2022 IEEE Spoken Language Technology Workshop (SLT), 15-22, 2023 | 7 | 2023 |
| Conmer: Streaming Conformer without self-attention for interactive voice assistants M Radfar, P Lyskawa, B Trujillo, Y Xie, K Zhen, J Heymann, D Filimonov, ... | 5 | 2023 |
| A neural prosody encoder for end-to-end dialogue act classification K Wei, D Knox, M Radfar, T Tran, M Müller, GP Strimel, N Susanj, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Multi-task RNN-T with semantic decoder for streamable spoken language understanding X Fu, FJ Chang, M Radfar, K Wei, J Liu, GP Strimel, KM Sathyendra ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Lookahead when it matters: Adaptive non-causal transformers for streaming neural transducers G Strimel, Y Xie, BJ King, M Radfar, A Rastrow, A Mouchtaris International Conference on Machine Learning, 32654-32676, 2023 | 3 | 2023 |
| Löfgren's syndrome sarcoidosis and Non-LS sarcoidosis prediction using 1d-Convolutional neural networks A Muppidi, M Radfar Informatics in Medicine Unlocked 19, 100328, 2020 | 2 | 2020 |
| End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders J Wang, M Radfar, K Wei, C Chung ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| The Performance Evaluation of Attention-Based Neural ASR under Mixed Speech Input B He, M Radfar arXiv preprint arXiv:2108.01245, 2021 | 1 | 2021 |
| Speech separation using gain-adapted factorial hidden markov models MH Radfar, RM Dansereau, W Wong arXiv preprint arXiv:1901.07604, 2019 | 1 | 2019 |
| Emohrnet: High-Resolution Neural Network Based Speech Emotion Recognition A Muppidi, M Radfar ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
