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
waveletentropy
- 该程序是基于小波变换的熵谱，用来提取时间序列的周期成分。熵谱相对于小波谱来说在提取周期成分上有一定优势-The program is based on spectral entropy of wavelet transform to extract time series of the periodic component. Entropy is relative to the small spectral component in the extraction cycle, there are
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
MATLAB_pitch
- 用matlab计算一些基本的音频特征，基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减-Using matlab calculate some basic audio features, the basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean information
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
wavelet_packet_denoise
- 基于小波包分解的语音去噪，根据熵谱概率密度函数估计阈值，去除实际环境噪声。-Based on wavelet packet decomposition of the voice de-noising, in accordance with spectral entropy probability density function estimated threshold, the actual removal of environmental noise.
PSD
- 利用最大值熵法和PSD函数法分别求信号的功率谱密度。-The use of maximum entropy method and the PSD function method for seeking signals in the respective power spectral density.
zidaishangduandianjianbce
- 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
rlsdtw
- 基于RLS及DTW算法的数字语音识别。用RLS算法来消噪从而提高DTW算法的识别率-Based on adaptive sub-band spectral entropy of the robustness of Speech Endpoint Detection
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
nengliang_E
- 这个是基于多带谱熵的能量语音检测，这种处理的效果很好，比传统的谱熵检测效果还明显！-This is based on multi-bands Entropy energy voice activity detection, such an approach worked well, than the traditional spectral entropy test the results were obvious!
duodaipu
- 这个是多带谱语音检测，多带谱不仅具有谱熵的有点，还具有能量分析的有点，所以检测的效果很好！-This is a multi-band spectra of voice activity detection, multi-spectral bands not only has a bit of entropy, also has a bit of energy analysis, so the effect of a very good test!
MyEntropy
- 计算香浓信息熵，方便快捷的matlab代码，可以简单直接调用-Calculated Shannon information entropy, convenient matlab code can be simple and direct calls
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
08-NTAV-SPA_165_Marciniak-Rochowniak-etal
- In this paper we propose a method for voice activity detection (VAD) in a speech signal recorded in the presence of noise. The so-called endpoint detection (EPD), i.e., detection of voice activity (speech) boundaries is very difficult if the
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
pushang
- 实现低信噪比下的语音断电检测，谱熵端点检测，优于双门限端点检测法-Low-power voice SNR detection, spectral entropy endpoint detection, better than the two-endpoint detection threshold
chugao1
- 0基于语音信号特征：短时能量，短时过零率子带谱熵的语音信号的端点检测-0 endpoint detection based on speech signal characteristics: short-term energy, short-term zero-rate sub-band spectral entropy of speech signals
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.