221 citations · 422 across the 23 of their papers we have counts for
5 papers · 1 filter
Deep Within-Class Covariance Analysis for Robust Audio Representation Learning
Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer
Convolutional Neural Networks (CNNs) can learn effective features, though have been shown to suffer from a performance drop when the distribution of the data changes from training…
Probabilistic Generative Adversarial Networks
Hamid Eghbal-zadeh, Gerhard Widmer
We introduce the Probabilistic Generative Adversarial Network (PGAN), a new GAN variant based on a new kind of objective function. The central idea is to integrate a probabilistic…
Likelihood Estimation for Generative Adversarial Networks
Hamid Eghbal-zadeh, Gerhard Widmer
We present a simple method for assessing the quality of generated images in Generative Adversarial Networks (GANs). The method can be applied in any kind of GAN without interfering…
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification
Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer +1
In Acoustic Scene Classification (ASC) two major approaches have been followed . While one utilizes engineered features such as mel-frequency-cepstral-coefficients (MFCCs), the oth…
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs
Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer +2
Automated music playlist generation is a specific form of music recommendation. Generally stated, the user receives a set of song suggestions defining a coherent listening session.…