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Natural gradient ML or nonlinear decorrelation alg
- 极小边际熵等价于叉四阶累积量的平方和最小。通过迭代使四阶累积矩阵对角化，实现交叉四阶累积量的平方和的极小化。他是语音识别的重要预处理算法-minimum entropy equivalent to the marginal four bands fork cumulative amount of square and smallest. Through iterative four bands so that the cumulative matrix diagonalization, four
uvsegment
- 用信息熵进行语音信号声韵分割，尤其适合低信噪比的语音。-with information entropy voice signal eloquence and segmentation, especially for low SNR voice.
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
endPointDetectionViaEntropy
- Robust Entropy-based Endpoint Detection for Speech Recognition in Noisy Environments
entropy
- 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
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
VoiceSeperationML.rar
- 两路语音信号混合及解混的基于负熵的fastICA算法的MATLAB仿真实例,Two-way voice signals mixed and mixed solutions of negative entropy-based algorithm fastICA simulation of MATLAB
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
subbandspectralentropy
- 基于子带频谱墒的语音端点检测程序,程序思路清晰易懂-Based on the sub-band spectrum entropy Speech Endpoint Detection procedures, procedures clear and understandable
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
20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
fixnegentropy
- code to calculate entropy in ICA
fp
- 基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
work
- 基于负熵的FASTICA的不动点算法，并行提取信号，独立分量分析-Based on negative entropy FASTICA the fixed point algorithm, parallel extract the signal, independent component analysis
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
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
iLBC1
- Sound, Image and Video Compression and Coding International Hellenic University - Virtual Labs Entropy Coding Quantization Transform Coding MP3 - Psycoacoustics MP3 Compression JPEG MPEG, Block Matching Motion Estimation - P-Frame
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.
zzz
- 双门限和熵谱法结合的语音端点检测，效果明显更适合语音识别研究-Dual voice endpoint detection threshold and entropy spectrum combined, the effect was more suitable for speech recognition research
wavenengliang
- 小波分析语音信号并计算各IMF包络的能量熵-Wavelet analysis of vibration signals and calculate the energy entropy IMF envelope