Contrastive unsupervised learning for speech emotion recognition M Li, B Yang, J Levy, A Stolcke, V Rozgic, S Matsoukas, C Papayiannis, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 58 | 2021 |
End-to-end classification of reverberant rooms using dnns C Papayiannis, C Evers, PA Naylor IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 3010-3017, 2020 | 15 | 2020 |
Detecting Media Sound Presence in Acoustic Scenes. C Papayiannis, J Amoh, V Rozgic, S Sundaram, C Wang INTERSPEECH, 1363-1367, 2018 | 14 | 2018 |
Sparse parametric modeling of the early part of acoustic impulse responses C Papayiannis, C Evers, PA Naylor 2017 25th European Signal Processing Conference (EUSIPCO), 678-682, 2017 | 13 | 2017 |
Discriminative feature domains for reverberant acoustic environments C Papayiannis, C Evers, PA Naylor 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 7 | 2017 |
Data augmentation of room classifiers using generative adversarial networks C Papayiannis, C Evers, PA Naylor arXiv preprint arXiv:1901.03257, 2019 | 5 | 2019 |
Confidence estimation for speech emotion recognition based on the relationship between emotion categories and primitives Y Li, C Papayiannis, V Rozgic, E Shriberg, C Wang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
Detecting Sound-Absorbing Materials in a Room from a Single Impulse Response using a CRNN C Papayiannis, C Evers, PA Naylor arXiv preprint arXiv:1901.05852, 2019 | 2* | 2019 |
Models for learning reverberant environments C Papayiannis Imperial College London, 2019 | 2 | 2019 |
Analysis and Utilization of Entrainment on Acoustic and Emotion Features in User-agent Dialogue D Tan, N Kargas, D McHardy, C Papayiannis, A Bonafonte, M Strelec, ... arXiv preprint arXiv:2212.03398, 2022 | | 2022 |