Discrimination of speech signals based on Matlab's double threshold method
The double-threshold method is a commonly used speech signal processing method, used to identify and analyze speech signals. In this article, we will introduce how to use Matlab to implement the double-threshold method and give the corresponding source code.
First, we need to understand the basic principles of the double-threshold method. This method determines whether the speech signal exceeds or falls below these thresholds by setting two thresholds, namely the upper threshold and the lower threshold. When the signal exceeds the upper threshold, it is determined that there is speech activity (Speech Active); when the signal is below the lower threshold, it is determined that there is no speech activity (Speech Inactive). By thresholding the speech signal, we can detect and segment speech activities.
The following is the source code for implementing the double-threshold method using Matlab:
% 设置参数
fs = 8000; % 采样率
frameSize = 256; % 帧大小
overlap = 128; % 帧重叠</