Browsing by Author "Kırbız, Serap"
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Audio source separation using variational autoencoders and weak class supervision
Karamatlı, Ertuğ; Cemgil, Ali Taylan; Kırbız, Serap (Institute of Electrical and Electronics Engineers (IEEE), 2019)In this letter, 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 isolated sources. Since our method does not ... -
A bayesian allocation model based approach to mixed membership stochastic blockmodels
Hızlı, Çağlar; Kırbız, Serap (Taylor and Francis Ltd., 2022)Although detecting communities in networks has attracted considerable recent attention, estimating the number of communities is still an open problem. In this paper, we propose a model, which replicates the generative ... -
CNN-Based emotion recognition using data augmentation and preprocessing methods
Kayaoğlu, Bora; Toktaş, Tolga; Kırbız, Serap (Institute of Electrical and Electronics Engineers Inc., 2023)In this paper, a system that recognizes emotion from human faces is designed using Convolutional Neural Networks (CNN). CNN is known to perform well when trained with a large database. The lack of large and balanced publicly ... -
Dialogue enhancement using kernel additive modelling
Kırbız, Serap; Liutkus, A.; Cemgil, A. Taylan (Institute of Electrical and Electronics Engineers Inc., 2015)It is a major problem for the sound engineers to find the right balance between the dialogue signals and the ambient sources. This problem also makes one of the main causes of the audience concerns. The audience wants to ... -
İlişkisel veri ayrıştırılmasında model seçimi
Hızlı, Çağlar; Cemgil, Taylan; Kırbız, Serap (IEEE, 2019)İlişkisel veri analizinde temel bir problem olan topluluk seziminde, ilişkisel veri için model seçimi hala açık bir problemdir. Bu bildiride, Bayesçi atama modelinin (BAM) genel atama çerçevesi içinde, karmaşık üyelik ... -
Joint source separation and classification using variational autoencoders
Hızlı, Çağlar; Karamatlı, Ertuğ; Kırbız, Serap (IEEE, 2020)In this paper, we propose a novel multi-task variational auto encoder (VAE) based approach for joint source separation and classification. The network uses a probabilistic encoder for each sources to map the input data to ... -
Market basket analysis on retail stores of electronic devices
Topçu, Feray Ece (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)Market basket analysis is a technique that discovers the relationship between the pairs of products purchased together. It simply analyses the purchase coincidence with the products purchased among the sales transactions ... -
MixCycle: Unsupervised Speech Separation via Cyclic Mixture Permutation Invariant Training
Karamatlı, Ertuğ; Kırbız, Serap (IEEE, 2022)We introduce two unsupervised source separation methods, which involve self-supervised training from single-channel two-source speech mixtures. Our first method, mixture permutation invariant training (MixPIT), enables ... -
Negatif olmayan gürültü giderici değişimli oto-kodlayıcılar kullanarak tek kanaldan kaynak ayrıştırma için zayıf etiket denetimi
Karamatlı, Ertuğ; Cemgil, Ali Taylan; Kırbız, Serap (IEEE, 2019)Derin öğrenme modelleri, büyük miktarda etiketlenmiş veri bulunduğunda kaynak ayrıştırmada çok başarılı olmaktadır. Bununla birlikte, dikkatlice etiketlenmiş veri kümelerine erişim her zaman mümkün olmamaktadır. Bu bildiride, ... -
Perceptual coding-based informed source separation
Informed Source Separation (ISS) techniques enable manipulation of the source signals that compose an audio mixture, based on a coder-decoder configuration. Provided the source signals are known at the encoder, a low-bitrate ...
