| Progressive neural networks for transfer learning in emotion recognition J Gideon, S Khorram, Z Aldeneh, D Dimitriadis, EM Provost Proc. Interspeech 2017, 1098 - 1102, 2017 | 155 | 2017 |
| The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild S Khorram, M Jaiswal, J Gideon, M McInnis, EM Provost Proc. Interspeech 2018, 1903 - 1907, 2018 | 61 | 2018 |
| Automatic speech-based longitudinal emotion and mood recognition for mental health treatment EM Provost, M Mcinnis, JH Gideon, KA Matton, S Khorram US Patent 11,545,173, 2023 | 60 | 2023 |
| Pooling acoustic and lexical features for the prediction of valence Z Aldeneh, S Khorram, D Dimitriadis, EM Provost Proceedings of the 19th ACM International Conference on Multimodal …, 2017 | 51 | 2017 |
| Capturing long-term temporal dependencies with convolutional networks for continuous emotion recognition S Khorram, Z Aldeneh, D Dimitriadis, M McInnis, EM Provost Proc. Interspeech 2017, 1253 - 1257, 2017 | 49 | 2017 |
| Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients N Mamun, S Khorram, JHL Hansen Proc. Interspeech 2019, 2019 | 36 | 2019 |
| Exploiting acoustic and lexical properties of phonemes to recognize valence from speech B Zhang, S Khorram, EM Provost ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 32 | 2019 |
| Probabilistic Permutation Invariant Training for Speech Separation M Yousefi, S Khorram, JHL Hansen Proc. Interspeech 2019, 2019 | 29 | 2019 |
| Jointly aligning and predicting continuous emotion annotations S Khorram, MG McInnis, EM Provost IEEE Transactions on Affective Computing 12 (4), 1069-1083, 2019 | 27 | 2019 |
| Recognition of Depression in Bipolar Disorder: Leveraging Cohort and Person-Specific Knowledge. S Khorram, J Gideon, MG McInnis, EM Provost INTERSPEECH, 1215-1219, 2016 | 27 | 2016 |
| Exploiting acoustic and lexical properties of phonemes to recognize valence from speech EM Provost, B Zhang, S Khorram US Patent 11,072,344, 2021 | 25 | 2021 |
| Speech variability: A cross-language study on acoustic variations of speaking versus untrained singing JHL Hansen, M Bokshi, S Khorram The Journal of the Acoustical Society of America 148 (2), 829, 2020 | 20 | 2020 |
| Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition S Ghorbani, S Khorram, JHL Hansen ASRU 2019, 2019 | 18 | 2019 |
| Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain S Khorram, MG McInnis, EM Provost ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 17 | 2019 |
| Contrastive siamese network for semi-supervised speech recognition S Khorram, J Kim, A Tripathi, H Lu, Q Zhang, H Sak ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Wild wild emotion: a multimodal ensemble approach J Gideon, B Zhang, Z Aldeneh, Y Kim, S Khorram, D Le, EM Provost Proceedings of the 18th ACM International Conference on Multimodal …, 2016 | 11 | 2016 |
| Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition S Jafarlou, S Khorram, V Kothapally, JHL Hansen ASRU 2019, 2019 | 10 | 2019 |
| Context-dependent acoustic modeling based on hidden maximum entropy model for statistical parametric speech synthesis S Khorram, H Sameti, F Bahmaninezhad, S King, T Drugman EURASIP Journal on Audio, Speech, and Music Processing 2014, 1-21, 2014 | 10 | 2014 |
| Implementation and evaluation of statistical parametric speech synthesis methods for the Persian language S Bahaadini, H Sameti, S Khorram 2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011 | 8 | 2011 |
| Speech synthesis based on gaussian conditional random fields S Khorram, F Bahmaninezhad, H Sameti Artificial Intelligence and Signal Processing: International Symposium, AISP …, 2014 | 6 | 2014 |
Emily Mower ProvostProfessor of Computer Science, University of MichiganZweryfikowany adres z umich.edu