Emotion Speech Recognition under Sadness Conditions

Abstract:

Sadness, one of the negative emotions, may cause undesirable impact to the daily life. Therefore, it is desirable to automatically detect sadness emotion in human-machine interactions in order to adopt measures to impair the negative effects caused by it. Speech is one of the means used by human to express emotions, therefore, it is reasonable to detect sadness emotion using speech samples. In this paper, we analyzed relevant speech features, and proposed an improved Back Propagation (BP) network for sadness recognition. The experimental results show that the improved BP network proposed has better performance than traditional BP networks in detecting sadness emotion.

• Periodical: Advanced Materials Research (Volumes 488-489)
• Pages: 1329-1334
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.488-489.1329
• Online since: March 2012
• Authors: Liang He, Long Hui Guo, Huai Zhong Li
• Keywords: BP Network, Interference Mechanism, Iteration, Local Optimum

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