Elderly Speech Emotion Recognition Based On Gaussian Mixture Model

Population aging has become a worldwide problem, China has acceleration entered the aging society. Due to changes in the live structure of contemporary Chinese youth, a lot of "empty nesters" appear in the community. How to help the empty-nest old people realize their desire of emotional communication with people has attracted the attention of the society. In this paper, we combine pattern recognition, speech signal processing, speech emotion recognition technology and other advanced science and technology, speech emotion recognition method for the elderly to do some research. We can refer to these studies as the elderly speech emotion recognition later developed practical applications, but also for the elderly well-being of this study with the speech emotion recognition technology linked to together.In this article, we description the basics of speech signal processing, some of the ways speech emotion recognition, the role of the more common recognition model, a common voice features and these features in speech recognition. Early scholars were classified emotion of speech, the paper summarizes the views of several scholars, and these views are quite common in the usual study. This article also describes some of the mainstream voice database, and based on the experience we established a relatively distinctive elderly emotional speech database. In the study of mandarin Chinese database and Berlin speech database, we proposed the elderly of speech emotion recognition method, and made a detailed experiment.The thesis describes the elderly emotional speech database contains two speech segment time length, namely the length of time of2to3seconds and5to8seconds. In this paper we respectively on two length of time to do the experiment, and compare the results and analysis, found that time longer speech recognition rate is higher. The result has a certain reference value for the future elderly speech emotion recognition research. According to the experimental results and analysis in this paper, we made a summary and prospect of the subject.