Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech

Author:

Peng Zhichao,Dang Jianwu,Unoki MasashiORCID,Akagi MasatoORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference53 articles.

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2. Feature pooling of modulation spectrum features for improved speech emotion recognition in the wild;Avila;IEEE Transactions on Affective Computing,2018

3. SoundNet: Learning sound representations from unlabeled video;Aytar,2016

4. Brady, K., et al. (2016). Multi-modal audio, video and physiological sensor learning for continuous emotion prediction. In Proceedings of the 6th international workshop on audio/visual emotion challenge (pp. 97–104).

5. Chen, S. (2015). Multi-modal dimensional emotion recognition using recurrent neural networks. In AVEC ’15 proc. 5th int. work. audio/visual emot. chall. (pp. 49–56).

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