Spoken Emotion Recognition Using Deep Learning

Author:

Albornoz E. M.,Sánchez-Gutiérrez M.,Martinez-Licona F.,Rufiner H. L.,Goddard J.

Publisher

Springer Berlin Heidelberg

Reference27 articles.

1. Albornoz, E.M., Milone, D.H., Rufiner, H.L.: Spoken emotion recognition using hierarchical classifiers. Computer Speech & Language 25(3), 556–570 (2011)

2. Batliner, A., Steidl, S., Schuller, B., Seppi, D., Vogt, T., Wagner, J., Devillers, L., Vidrascu, L., Aharonson, V., Kessous, L., Amir, N.: Whodunnit - Searching for the most important feature types signalling emotion-related user states in speech. Computer Speech & Language 25(1), 4–28 (2011)

3. Bengio, Y.: Learning Deep Architectures for AI. Foundations and Trends®in Machine Learning 2(1), 1–127 (2009)

4. Borchert, M., Dusterhoft, A.: Emotions in speech - experiments with prosody and quality features in speech for use in categorical and dimensional emotion recognition environments. In: Proc. of IEEE Int. Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), pp. 147–151 (October 2005)

5. Brueckner, R., Schuller, B.: Likability classification - a not so deep neural network approach. In: 13th Annual Conference of the International Speech Communication Association, INTERSPEECH 2012, Portland, USA, pp. 1–4 (2012)

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