Estimating the degree of conflict in speech by employing Bag-of-Audio-Words and Fisher Vectors

Author:

Gosztolya GáborORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference64 articles.

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2. Be at odds? Deep and hierarchical neural networks for classification and regression of conflict in speech;Brueckner,2015

3. Detecting speech interruptions for automatic conflict detection;Caraty,2015

4. LIBSVM: A library for support vector machines;Chang;ACM Transactions on Intelligent Systems and Technology (TIST),2011

5. Chen, S., Li, X., Jin, Q., Zhang, S., & Qin, Y. (2016). Video emotion recognition in the wild based on fusion of multimodal features. In Proceedings of ACM international conference on multimodal interaction (pp. 494–500).

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