SVM Signal Processing under Voice Signal Processing Technology Based on Cloud Computing Platform

Abstract

With the continuous development of science and technology, researchers are committed to
reading people’s emotions through machines and strengthening human-computer interaction.
In human-computer interaction, speech signal processing technology is an important means.
The purpose of this paper is to explore the important value and new means of voice signal
processing technology under cloud computing platform. This paper mainly explores the
application of voice signal processing technology under the cloud computing platform. In the
traditional processing mode, it is mainly completed by a single computer, while in the cloud
computing mode; data information can be completed by multiple computers through
MapReduce model and SVM signal processing, which improves the accuracy and efficiency.
The experimental results show that the speech recognition model based on cloud computing
platform has a recognition rate of more than 70%, which can meet the requirements. The
acceleration ratio of the Hadoop cluster platform in the processing of voice emotion
recognition task reached 3.6, indicating that the cloud computing platform has higher
efficiency and obvious advantages compared with the traditional single computer platform in
the processing of this computing task with relatively large data.