Speaker to emotion: Domain adaptation for speech emotion recognition with residual adapters
Y Xi, P Li, Y Song, Y Jiang, L Dai - 2019 Asia-Pacific Signal …, 2019 - ieeexplore.ieee.org
Despite considerable recent progress in deep learning methods for speech emotion
recognition (SER), performance is severely restricted by the lack of large-scale labeled …
recognition (SER), performance is severely restricted by the lack of large-scale labeled …
Frontend attributes disentanglement for speech emotion recognition
YX Xi, Y Song, LR Dai, I McLoughlin… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Speech emotion recognition (SER) with limited size dataset is a challenging task, since a
spoken utterance contains various disturbing attributes besides emotion, including speaker …
spoken utterance contains various disturbing attributes besides emotion, including speaker …
Commonality and Individuality-Based Subspace Learning
Subspace learning (SL) plays a key role in various learning tasks, especially those with a
huge feature space. When processing multiple high-dimensional learning tasks …
huge feature space. When processing multiple high-dimensional learning tasks …