搜索资源列表
vdxhd
- 完整的基于HMM的语音识别系统,最终的权值矩阵就是滤波器的系数,包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Complete HMM-based speech recognition system, The final weight matrix is ??the filter coefficient, Including the final calculation of the compressed image peak signal to noise ratio and compr
moulun_v46
- 滤波求和方式实现宽带波束形成,完整的基于HMM的语音识别系统,是机器学习的例程。- Filtering summation way broadband beamforming, Complete HMM-based speech recognition system, Machine learning routines.
jfdfj
- 在matlab R2009b调试通过,完整的基于HMM的语音识别系统,二维声子晶体FDTD方法计算禁带宽度的例子。- In matlab R2009b debugging through, Complete HMM-based speech recognition system, Dimensional phononic crystals FDTD method calculation examples band gap.
ts534
- 意信号卷积的运算,并且绘制图象,最小二乘回归分析算法,完整的基于HMM的语音识别系统。- Convolution operation is intended to signal and image rendering, Least-squares regression analysis algorithm, Complete HMM-based speech recognition system.
auhsx
- 完整的基于HMM的语音识别系统,用于图像处理的独立分量分析,滤波求和方式实现宽带波束形成。- Complete HMM-based speech recognition system, Independent component analysis for image processing, Filtering summation way broadband beamforming.
agiub
- 基于K均值的PSO聚类算法,进行波形数据分析,完整的基于HMM的语音识别系统。- K-means clustering algorithm based on the PSO, Waveform data analysis, Complete HMM-based speech recognition system.
ug678
- 完整的基于HMM的语音识别系统,计算加权加速度,一种噪声辅助数据分析方法。- Complete HMM-based speech recognition system, Weighted acceleration, A noise auxiliary data analysis method.
7527
- 完整的基于HMM的语音识别系统,包括压缩比、运行时间和计算复原图像的峰值信噪比,验证可用。- Complete HMM-based speech recognition system, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Verification is available.
clndle
- 基于MATLAB的语音识别系统程序,包括HMM,DTW,Record三个matlab的M文件,(The speech recognition system based on MATLAB program, including the HMM, DTW, Record three MATLAB M file,)
jespriction-switch
- HMM的c实现,对理解HMM很有用,尤其是动态手势识别中,手运动的建模基本都基于H()
snyvjz
- HMM的c实现,对理解HMM很有用,尤其是动态手势识别中,手运动的建模基本都基于H()
mfcc
- 通过语音识别对类型进行分类,使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)
matlab_hmm
- matlab基于HMM的语音识别完整代码(需要修改程序里的路径以找到文件)(matlab)
dtw
- 可以用来实现dtw。在孤立词语音识别中,最为简单有效的方法是采用DTW(Dynamic Time Warping,动态时间归整)算法,该算法基于动态规划(DP)的思想,解决了发音长短不一的模板匹配问题,是语音识别中出现较早、较为经典的一种算法,用于孤立词识别。HMM算法在训练阶段需要提供大量的语音数据,通过反复计算才能得到模型参数,而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中,DTW算法仍然得到广泛的应用。(Can be used to implement DTW)