Optimal Transport with Class Structure Exploration for Cross-Domain Speech Emotion Recognition
Speech emotion recognition (SER) has widespread applications in human-computer
interaction. However, the performance of SER models often drops in domain mismatch …
interaction. However, the performance of SER models often drops in domain mismatch …
Unsupervised adaptive speaker recognition by coupling-regularized optimal transport
Cross-domain speaker recognition (SR) can be improved by unsupervised domain
adaptation (UDA) algorithms. UDA algorithms often reduce domain mismatch at the cost of …
adaptation (UDA) algorithms. UDA algorithms often reduce domain mismatch at the cost of …
Self-distillation-based domain exploration for source speaker verification under spoofed speech from unknown voice conversion
Advancements in voice conversion (VC) technology have made it easier to generate
spoofed speech that closely resembles the identity of a target speaker. Meanwhile …
spoofed speech that closely resembles the identity of a target speaker. Meanwhile …
Self-Supervised Domain Exploration with an Optimal Transport Regularization for Open Set Cross-Domain Speech Emotion Recognition
In the tasks of domain adaptation (DA) for speech emotion recognition (SER), self-
supervised learning (SSL) algorithms could effectively explore domain and structural …
supervised learning (SSL) algorithms could effectively explore domain and structural …