Speaker-invariant affective representation learning via adversarial training H Li, M Tu, J Huang, S Narayanan, P Georgiou ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 60 | 2020 |
Self-supervised speaker verification with simple siamese network and self-supervised regularization M Sang, H Li, F Liu, AO Arnold, L Wan ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 34 | 2022 |
Learning from past mistakes: improving automatic speech recognition output via noisy-clean phrase context modeling PG Shivakumar, H Li, K Knight, P Georgiou APSIPA Transactions on Signal and Information Processing 8, e8, 2019 | 31 | 2019 |
A deep reinforcement learning framework for Identifying funny scenes in movies H Li, N Kumar, R Chen, P Georgiou 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 25 | 2018 |
Unsupervised Latent Behavior Manifold Learning from Acoustic Features: audio2behavior H Li, B Baucom, P Georgiou Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017 | 17 | 2017 |
Linking emotions to behaviors through deep transfer learning H Li, B Baucom, P Georgiou PeerJ Computer Science 6, e246, 2020 | 16 | 2020 |
Automatic prediction of suicidal risk in military couples using multimodal interaction cues from couples conversations SN Chakravarthula, M Nasir, SY Tseng, H Li, TJ Park, B Baucom, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 14 | 2020 |
Sparsely Connected and Disjointly Trained Deep Neural Networks for Low Resource Behavioral Annotation: Acoustic Classification in Couples' Therapy H Li, B Baucom, P Georgiou Interspeech 2016, 1407--1411, 2016 | 14 | 2016 |
An empirical analysis of information encoded in disentangled neural speaker representations R Peri, H Li, K Somandepalli, A Jati, S Narayanan Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 194--201, 2020 | 13 | 2020 |
Predicting behavior in cancer-afflicted patient and spouse interactions using speech and language SN Chakravarthula, H Li, SY Tseng, M Reblin, P Georgiou Proc. Interspeech 2019, 3073--3077, 2019 | 12 | 2019 |
" Honey, I Learned to Talk" Multimodal Fusion for Behavior Analysis SY Tseng, H Li, B Baucom, P Georgiou Proceedings of the 20th ACM International Conference on Multimodal …, 2018 | 11 | 2018 |
Acted vs. improvised: Domain adaptation for elicitation approaches in audio-visual emotion recognition H Li, Y Kim, CH Kuo, S Narayanan arXiv preprint arXiv:2104.01978, 2021 | 8 | 2021 |
Deep reinforcement learning framework for characterizing video content R Chen, N Kumar, H Li US Patent 10,885,341, 2021 | 8 | 2021 |
Zero-shot end-to-end spoken language understanding via cross-modal selective self-training J He, J Salazar, K Yao, H Li, J Cai arXiv preprint arXiv:2305.12793, 2023 | 7 | 2023 |
Emotion Expression Estimates to Measure and Improve Multimodal Social-Affective Interactions JA Brooks, V Tiruvadi, A Baird, P Tzirakis, H Li, C Gagne, M Oh, A Cowen Companion Publication of the 25th International Conference on Multimodal …, 2023 | 1 | 2023 |
Deep reinforcement learning framework for characterizing video content R Chen, N Kumar, H Li US Patent 11,386,657, 2022 | 1 | 2022 |
Unsupervised speech representation learning for behavior modeling using triplet enhanced contextualized networks H Li, B Baucom, S Narayanan, P Georgiou Computer Speech & Language 70, 101226, 2021 | 1 | 2021 |
Probability constrained robust multicast beamforming in cognitive radio network X Liu, H Li, H Wang 2013 8th International Conference on Communications and Networking in China …, 2013 | 1 | 2013 |
Deep reinforcement learning framework for sequence level prediction of high dimensional data R Chen, N Kumar, H Li US Patent 11,829,878, 2023 | | 2023 |
The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data A Baird, AI Hume, R Manzelli, AI Modulate, P Tzirakis, C Gagne, H Li, ... | | 2023 |