基于声学信号处理和深度学习的键盘敲击识别系统，能够识别不同按键的敲击声，适用于信号处理、深度学习及安卓开发的学习项目。
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AcousticKeyBoard 是一个能够通过声学信号识别键盘敲击键位的系统。项目采用 VAD（语音活动检测）、中值滤波和梅尔频率倒谱系数（MFCC）对按键信号进行切割、降噪和特征提取，然后通过 TensorFlow LSTM 进行训练。系统包含基于 Django 的后台和安卓应用，能够识别不同按键的敲击声，并支持实时预测。项目适用于学习信号处理、深度学习、安卓开发和 Django 框架。
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