文件名称:vad
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关于端点检测的几种方法,语音样本是自己录制的,对传统算法做了一些改进,加入了去噪,去噪之后再进行端点检测,均调通
vad0303:自己设置调整门限为一定值
vad0310:根据能量值和过零率设置门限,自适应门限值
vad0310_2:基于比例因子的门限自调整
vad0310.m加入了噪声,端点检测前都噪声进行了处理
entropy.m:基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测
dbdoor.m:双门限算法,用于语音端点检测。可以通过调整门限值,并加入门限自适应算法,实现语音端点检测-Several methods on endpoint detection, recording their own voice samples, the traditional algorithm has made some improvements, adding a de-noising, and then after de-noising endpoint detection are transferred through
vad0303:自己设置调整门限为一定值
vad0310:根据能量值和过零率设置门限,自适应门限值
vad0310_2:基于比例因子的门限自调整
vad0310.m加入了噪声,端点检测前都噪声进行了处理
entropy.m:基于自适应子带频谱熵的稳健性语音端点检测 可用于语音增强及端点检测
dbdoor.m:双门限算法,用于语音端点检测。可以通过调整门限值,并加入门限自适应算法,实现语音端点检测-Several methods on endpoint detection, recording their own voice samples, the traditional algorithm has made some improvements, adding a de-noising, and then after de-noising endpoint detection are transferred through
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vad
...\0302.jpg
...\0303_1.jpg
...\0331.jpg
...\0406.jpg
...\0406_1.jpg
...\0409.jpg
...\1.wav
...\21.wav
...\31.wav
...\41.wav
...\51.wav
...\5_1.wav
...\5_2.wav
...\5_3.wav
...\61.wav
...\71.wav
...\bandpass.m
...\dbdoor.asv
...\dbdoor.m
...\enframe.m
...\entropy.asv
...\entropy.m
...\filterdi.m
...\vad0302.m
...\vad0303.m
...\vad0310.asv
...\vad0310.m
...\vad0310_1.asv
...\vad0310_1.m
...\vad0310_2.asv
...\vad0310_2.m
...\语音原图.jpg