Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold
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Dosyalar
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Isca-Int Speech Communication Assoc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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 and classification, addressing the issues of the domain. Apart from the noise robustness, an important issue with real life data is the imbalanced nature: some classes of states/traits are under-represented. Combined with the high dimensionality of the feature vectors used in the state-of-the-art analysis systems, this issue poses the threat of over-fitting. While the kernel trick can be employed to handle the dimensionality issue, regular classifiers inherently aim to minimize the misclassification error and hence are biased towards the majority class. A solution to this problem is over sampling of the minority class(es). However, this brings increased memory/computational costs, while not bringing any new information to the classifier. In this work, we propose a new weighting scheme on instances of the original dataset, employing Weighted Kernel Extreme Learning Machine, and inspired from that, introducing the Weighted Partial Least Squares Regression based classifier. The proposed methods are applied on all three 1NTERSPEECH ComParF, 2017 challenge corpora, giving better or competitive results compared to the challenge baselines.
Açıklama
18th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2017) -- AUG 20-24, 2017 -- Stockholm, SWEDEN
Anahtar Kelimeler
computational paralinguistics, imbalanced data, Snoring, Addressee, Fisher vector, Weighted PLS, ELM, Extreme Learning-Machine, Deception
Kaynak
18th Annual Conference of the International Speech Communication Association (Interspeech 2017), Vols 1-6: Situated Interaction
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
