Speech emotion recognition using convolutional and Recurrent Neural Networks

@article{Lim2016SpeechER,
  title={Speech emotion recognition using convolutional and Recurrent Neural Networks},
  author={Wootaek Lim and Dae-young Jang and Taejin Lee},
  journal={2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)},
  year={2016},
  pages={1-4}
}
With rapid developments in the design of deep architecture models and learning algorithms, methods referred to as deep learning have come to be widely used in a variety of research areas such as pattern recognition, classification, and signal processing. Deep learning methods are being applied in various recognition tasks such as image, speech, and music recognition. Convolutional Neural Networks (CNNs) especially show remarkable recognition performance for computer vision tasks. In addition… CONTINUE READING
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