Brings forward adaptive noise reduction system based on short time average magnitude, expound its work principle and key technology, at last validate the compose is just through experimentation.
提出基于短时平均幅度比的自适应降噪系统的构想，阐述了系统的工作原理和关键技术，并通过实验对该构想的正确性进行验证。
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。
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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