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Found 4 papers, 2 papers with code
Interpretations of Domain Adaptations via Layer Variational Analysis
The method shows an increase in efficiency and accuracy for domain adaptation.
On the robustness of non-intrusive speech quality model by adversarial examples
It has been shown recently that deep learning based models are effective on speech quality prediction and could outperform traditional metrics in various perspectives.
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
This paper presents a novel discriminator-constrained optimal transport network (DOTN) that performs unsupervised domain adaptation for speech enhancement (SE), which is an essential regression task in speech processing.
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation
The results indicate that these techniques can be applied to estimate the state of a system for the repeated initialization of short-term forecasts, even in the absence of a traditional numerical forecast model.
