Speech emotion recognition based on genetic algorithm–decision tree fusion of deep and acoustic features

Author:

Sun Linhui1ORCID,Li Qiu1,Fu Sheng1,Li Pingan1

Affiliation:

1. College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Reference34 articles.

1. The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

2. A.Origlia V.Galatà andB.Ludusan Automatic classification of emotions via global and local prosodic features on a multilingual emotional database in Proc. Int. Conf. Speech Prosody (Chicago IL USA) May 2010 pp.1–4.

3. Analysis of common feature recognition performance of Chinese speech emotion;Li W. H.;Intell. Comput. Appl.,2017

4. in Proc. Chin. Control. Conf. (CCC), (Dalian, China), July 2017, pp. 10995–10998;Cao W. H.

5. in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (Honolulu, HI, USA), Apr. 2007;Lugger M.

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