id: 05364686
dt: a
an: 05364686
au: Zhang, Guobao; Song, Qinghua; Fei, Shumin
ti: Speech emotion recognition system based on BP neural network in MATLAB
    environment.
so: Sun, Fuchun (ed.) et al., Advances in neural networks ‒ ISNN 2008. 5th
    international symposium on neural networks, ISNN 2008, Beijing, China,
    September 24‒28, 2008. Proceedings, Part II. Berlin: Springer (ISBN
    978-3-540-87733-2/pbk). Lecture Notes in Computer Science 5264, 801-808
    (2008).
py: 2008
pu: Berlin: Springer
la: EN
cc: 
ut: emotional speech; recognition of emotion; BP neural network; MATLAB
ci: 
li: doi:10.1007/978-3-540-87734-9_91
ab: Summary: An emotion recognition system based on BP neural network to
    recognize special human affective states existed in the speech signal
    is presented in this paper. About 600 short sentences with different
    contents in different emotional speeches from 4 speakers are collected
    for training and testing the feasibility of the system. The energy,
    pitch and speech rate characteristics are extracted from these speech
    signals. angry, calm, happy, sad, and surprise as the 5 typical
    emotions are classified with BP Neural network. In order to update
    automatically the emotion recognition system with time, an additional
    study step, just as the feed-back control, is adopted to train the
    finished network again according to the output. The experiments show
    that the system is of satisfactory emotion detection performance for
    some emotions.
rv: