搜索资源列表
mel_endpointdetection
- 端点检测程序 多频带,熵 谱熵 teger能量 希望大家好好学习好好利用-endpoint detection procedures multiband, entropy spectral entropy teger energy hope that we learn to make good use
jin0530.rar
- 做毕业设计编写的基于谱熵端点检测的程序,欢迎分享,Designed to prepare graduates to do spectral entropy-based endpoint detection process, please share
detection
- 基于倒谱,分形,和谱熵的语音端点检测程序,三个文件夹内对应三种程序-Cepstrum-based, fractal, and spectral entropy of speech endpoint detection procedures, the three folders corresponding to the three procedures
spectrelentropy
- 使用子带谱熵进行的端点检测,将谱熵分为几个子带,检测效果不错-The use of sub-band entropy of the endpoint detection, the spectral entropy is divided into several sub-band to detect the effect of good
2
- 基于自适应子带频谱熵的稳健性语音端点检测-Based on adaptive sub-band spectral entropy of the robustness of Speech Endpoint Detection
shangpu10
- 序列的最大熵谱的周期计算程序,经测试可以使用-Maximum entropy spectral sequence calculation program cycle, the test could be used
11
- 为提高语音端点检测系统在低信噪(0 dB 以下) 下 检测的准确率, 提出了一种基于谱熵的端点检测算法。将每 帧信号分为16 个子带, 选取频谱分布在250~ 3. 5 kHz 并且 能量不超过该帧总能量90 的子带, 计算经过语音增强后的 子带能量以及各子带信噪比, 根据各子带信噪比的不同调整 其在整个谱熵计算过程中的权重, 然后平滑谱熵, 以最终的 谱熵作为端点检测的依据-To improve endpoint detection system in the low
bjjiinbaoma
- 一种基于自适应子带频谱熵的稳健性语音音端点检测,自己写的,希望对大家有帮助。 -A robustness of the voice tone endpoint detection based on adaptive sub-band spectral entropy, write your own, we hope to help.
pushang
- 谱熵的端点检测方法matlab程序 学习参考-Spectral entropy method of endpoint detection