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training_gmm
- 训练高斯混合模型的程序，尽管此类代码较多，但本程序经过笔者改写优化后，很大程度上避免了普通方法中局部最优的问题。-Gaussian mixture model training procedures, although the code more, but the procedure after the author rewrite optimization, largely avoiding the ordinary method of optimal local issues.
gmm_creation_mle
- 采用期望最大算法最优化初始高斯混合模型的程序，笔者借用ubm自适应方法，很好的解决了模型不收敛的问题。-expectations largest algorithm using optimization initial Gaussian mixture model procedures, the author borrowed ubm adaptive method, a good model is not the solution convergence problem.
gmm_prob
- 计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。-Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed.
GMM
- It s GMM(Gaussian Mixture Model) code
Gaussian_mixture_model
- 高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於GMM 能够平滑地近似任意形状的密度分布,因此近年来常被用在语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of the extension.GMM can approxi
GMM1_NE
- Gaussian Mixture Models (GMM) for speech noise reduction
my
- 对音频进行加噪滤波，然后比较处理性能。加高斯白噪声，不同滤波器进行滤波比较。-Adding noise to the audio filter, and then compare the processing performance. Adding Gaussian white noise, filtering comparison of different filters.
lloyd_max
- The optimal quantization tables for Gaussian, Rayleigh and Laplacian probability density functions.Uniform quantizer is optimal for uniform distribution source, not for other distribution.The procedure is based on a Lloyd-Max iteration.
DIGITAL-WARTERMARKING
- 使用DCT和小波变换的数字音频水印生成/解码程序，可存活于方差0.05的高斯白噪声及不同程度的剪切。内含程序/测试文件介绍。-Digital wartermarking encoding/decoding program with DCT and wavelet transform. nice robustness against Gaussian noise with variance less than 0.05 and any type of cropping attack. fu
HRTF_Paper2
- Gaussian process data fusion for heterogeneous HRTF datasets
HRTF_Paper3
- Gaussian process models for HRTF based 3D sound localization