31 citations · 79 across the 6 of their papers we have counts for
8 papers
Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP
Nikolaos Antoniou, Athanasios Katsamanis, Theodoros Giannakopoulos +1
There is an imminent need for guidelines and standard test sets to allow direct and fair comparisons of speech emotion recognition (SER). While resources, such as the Interactive E…
A Dataset for Greek Traditional and Folk Music: Lyra
Charilaos Papaioannou, Ioannis Valiantzas, Theodoros Giannakopoulos +2
Studying under-represented music traditions under the MIR scope is crucial, not only for developing novel analysis tools, but also for unveiling musical functions that might prove…
A Dataset for Speech Emotion Recognition in Greek Theatrical Plays
Maria Moutti, Sofia Eleftheriou, Panagiotis Koromilas +1
Machine learning methodologies can be adopted in cultural applications and propose new ways to distribute or even present the cultural content to the public. For instance, speech a…
Unsupervised Multimodal Language Representations using Convolutional Autoencoders
Panagiotis Koromilas, Theodoros Giannakopoulos
Multimodal Language Analysis is a demanding area of research, since it is associated with two requirements: combining different modalities and capturing temporal information. Durin…
Unsupervised low-rank representations for speech emotion recognition
Georgios Paraskevopoulos, Efthymios Tzinis, Nikolaos Ellinas +2
We examine the use of linear and non-linear dimensionality reduction algorithms for extracting low-rank feature representations for speech emotion recognition. Two feature sets are…
Enhanced Movie Content Similarity Based on Textual, Auditory and Visual Information
Konstantinos Bougiatiotis, Theodore Giannakopoulos
In this paper we examine the ability of low-level multimodal features to extract movie similarity, in the context of a content-based movie recommendation approach. In particular, w…
Curriculum Learning for Multi-Task Classification of Visual Attributes
Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou +1
Visual attributes, from simple objects (e.g., backpacks, hats) to soft-biometrics (e.g., gender, height, clothing) have proven to be a powerful representational approach for many a…
Unobtrusive Low Cost Pupil Size Measurements using Web cameras
Sergios Petridis, Theodoros Giannakopoulos, Costantine D. Spyropoulos
Unobtrusive every day health monitoring can be of important use for the elderly population. In particular, pupil size may be a valuable source of information, since, apart from pat…