based on short time 基于短时
First, the traditional speech detection method based on short-time energy is discussed, including its principle and implementation.
本文的具体研究工作主要有以下几个方面:首先,讨论了传统的基于能量的起点检测方法。
It proved that using the Waterfall based on Short-Time Fourier Transform to analyze non-balanced signal has many advantages such as.
实践证明:用基于短时傅里叶变换的瀑布图来分析非平稳信号,具有分辨率高、特征提取结果更为精确的特点。
The endpoint detection based on short-time average magnitude of speech signals relative autocorrelation sequences can be detected in high accuracy under the low signal-to noise ratio.
在较低信噪比情况下,基于语音信号的短时相对自相关序列的短时平均幅度的端点检测能够获得较高的检测精度。
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