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Toplam kayıt 5, listelenen: 1-5
Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold
(Isca-Int Speech Communication Assoc, 2017)
The field of paralinguistics is growing rapidly with a wide range of applications that go beyond recognition of emotions, laughter and personality. The research flourishes in multiple directions such as signal representation ...
Feature Selection and Multimodal Fusion for Estimating Emotions Evoked by Movie Clips
(Assoc Computing Machinery, 2018)
Perceptual understanding of media content has many applications, including content-based retrieval, marketing, content optimization, psychological assessment, and affect-based learning. In this paper, we model audio visual ...
Oak Leaf Classification: An Analysis of Features and Classifiers
(IEEE, 2019)
Automatic classification of trees from leaves is a popular computer vision/machine learning task and has important applications in monitoring of forest wealth. While the final aim is preparing an application, which is ...
Fusing Acoustic Feature Representations for Computational Paralinguistics Tasks
(Isca-Int Speech Communication Assoc, 2016)
The field of Computational Paralinguistics is rapidly growing and is of interest in various application domains ranging from biomedical engineering to forensics. The INTERSPEECH ComParE challenge series has a field-leading ...
Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation
(IEEE Computer Soc, 2016)
Affective computing, particularly emotion and personality trait recognition, is of increasing interest in many research disciplines. The interplay of emotion and personality shows itself in the first impression left on ...