32 citations · 42 across the 3 of their papers we have counts for
3 papers
cs.CV2026★ 2 cited
Improving Facial Emotion Recognition through Dataset Merging and Balanced Training Strategies
Serap Kırbız
In this paper, a deep learning framework is proposed for automatic facial emotion based on deep convolutional networks. In order to increase the generalization ability and the robu…
eess.AS2022★ 8 cited
MixCycle: Unsupervised Speech Separation via Cyclic Mixture Permutation Invariant Training
Ertuğ Karamatlı, Serap Kırbız
We introduce two unsupervised source separation methods, which involve self-supervised training from single-channel two-source speech mixtures. Our first method, mixture permutatio…
cs.SD2018★ 32 cited
Audio Source Separation Using Variational Autoencoders and Weak Class Supervision
Ertuğ Karamatlı, Ali Taylan Cemgil, Serap Kırbız
In this paper, we propose a source separation method that is trained by observing the mixtures and the class labels of the sources present in the mixture without any access to isol…