Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms

Abstract

We present a new implementation of emotion recognition from the para-lingual information in the speech, based on a deep neural network, applied directly to spectrograms. This new method achieves higher recognition accuracy compared to previously published results, while also limiting the latency. It processes the speech input in smaller segments – up to 3… (More)

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Cite this paper

@inproceedings{Satt2017EfficientER, title={Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms}, author={Aharon Satt and Shai Rozenberg and Ron Hoory}, booktitle={INTERSPEECH}, year={2017} }