Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition

• Published in: International Conference on Affective Computing and Intelligent Interaction and workshops pp. 511 - 516
• Main Authors: Jun Deng, Zixing Zhang, Marchi, Erik, Schuller, Bjorn
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2013
• Subjects: Acoustics; deep neural networks; Emotion recognition; sparse autoencoder; Speech; speech emotion recognition; Speech recognition; Training; transfer learning

In speech emotion recognition, training and test data used for system development usually tend to fit each other perfectly, but further 'similar' data may be available. Transfer learning helps to exploit such similar data for training despite the inherent dissimilarities in order to boost...