Browsing by Author "Unay, Devrim"

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    A pattern mining approach in feature extraction for emotion recognition from speech
    (Springer Verlag service@springer.de, 2019) Umut Avci; Gamze Akkurt; Devrim Ünay; Unay, Devrim; Avci, Umut; Akkurt, Gamze; A.A. Salah , A.A. Salah , A. Karpov , R. Potapova
    We address the problem of recognizing emotions from speech using features derived from emotional patterns. Because much work in the field focuses on using low-level acoustic features we explicitly study whether high-level features are useful for classifying emotions. For this purpose we convert a continuous speech signal to a discretized signal and extract discriminative patterns that are capable of distinguishing distinct emotions from each other. Extracted patterns are then used to create a feature set to be fed into a classifier. Experimental results show that patterns alone are good predictors of emotions. When used to build a classifier pattern features achieve accuracy gains up to 25% compared to state-of-the-art acoustic features. © 2019 Elsevier B.V. All rights reserved.