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Springer Science and Business Media LLC
Reference61 articles.
1. Trigeorgis G, Ringeval F, Brueckner R, Marchi E, Nicolaou MA, Schuller B, Zafeiriou S (2016)“Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network,” in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp 5200–5204
2. Li X, Tao J, Johnson MT, Soltis J, Savage A, Leong KM, Newman JD (2007) “Stress and emotion classification using jitter and shimmer features,” in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP’07, vol 4. IEEE, pp IV–1081
3. Chen CH, Lu PT, Chen OTC (2010) “Classification of four affective modes in online songs and speeches,” in The 19th Annual Wireless and Optical Communications Conference (WOCC 2010). IEEE, pp 1–4
4. Busso C, Lee S, Narayanan S (2009) Analysis of emotionally salient aspects of fundamental frequency for emotion detection. IEEE Transactions on Audio, Speech, lang process 17(4):582–596
5. Wu S, Falk TH, Chan WY (2011) Automatic speech emotion recognition using modulation spectral features. Speech Comm 53(5):768–785