搜索资源列表
G.711
- 语音信号的G.711编码。 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by \"unlocked\" factor yu(k) only. The factor yl(k) and speed-contral fact
G.723
- G.723语音编码 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by \"unlocked\" factor yu(k) only. The factor yl(k) and speed-contral factor a
CELP_Linux.tar
- Linux下的CELP语言编码，压缩语音质量极好。支持2K到32K的压缩。实现部分使用C语言编写。可用做Linux下的动态库，有例子。-under Linux CELP language coding, compression excellent speech quality. Support 2 K to 32 K compression. Part of the use of C language. Linux can be done under the DLL, is an example
yuyinshibiedsp
- 用DSP实现的一个简单的语音识别系统,只要实现单个词的识别即可,采样率8k,帧长30ms,帧移10ms,系统采样后分帧--端点检测,将检测到的原始语音信号保存下来,基本上一个字在30帧左右,然后提取每帧的LPC参数--将LPC参数转换为LPC倒谱系数,然后利用DTW方法和模板比较.-a brief speech recognition system, as long as the realization of a single word can be identified. 8 k sampli
vqKmeans
- Test k-means on 2-D data
LPCC-MFCC-VAD
- 本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。在对语音数据进行特征提取前，可对语音数据进行16K到8K的降采样率处理，包含180阶FIR滤波器的频率压缩程序。-this program includes voice compression and voice recognition requirements in the area of the LPCC Features. MFCC feature extraction algorithm and v
choosenk
- all possible ways of choosing k elements out of the numbers 1:n without duplications-all possible ways of choosing k elements ou not one of the numbers : n without duplications
KLT
- 模式识别k-means法与k-l变换做的特征提取
speecher_identification
- 通过语音mfcc特征参数提取采用k均值算法实现说话人识别功能
cskmeans
- 语音识别的K－means算法，语音识别的K－means算法语音识别的K－means算法
kmatlab
- k阶距的动态聚类程序，对语音识别有帮助，希望大家看看！
speaker1PGMM
- 说话人识别GMM模型训练MATLAB程序，需要和voicebox配合使用，使用voicebox提取MFCC和k均值分类，这是GMM说话人识别模型的训练程序。-Speaker Recognition GMM model training MATLAB program used in conjunction with and voicebox, voicebox extract MFCC and k-means classification, which is a GMM speaker recog
cvap3.5
- CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by ad
k_means
- k-means分类算法matlab 实现-k-means clasifier
OCR_TEST
- OCR TESTING TRial k IS TESTING PHASE ONLY THE FORMATION OF THE TEACHING CODE IS NOT INCLUDED BUT CAN BE DERIVED
2028
- OTOMATİ K KONUŞ MA TANIMA ALGORİ TMALARININ UYGULAMALARI Kö ksal Ö CAL Ankara Ü niversitesi Fen Bilimleri Enstitüsü Elektronik Mühendisliğ i Anabilim Dalı Danı ş man : Yrd. Doç . Dr. H. Gö kh
GMM
- this another gmm training matlab source code. it use k-means for initialization of parameter before trainig, not LBG algirhtm. so it is very helpful for GMM training-this is another gmm training matlab source code. it use k-means for initializati
HLab.tar
- A speech recognition training and decoding system. It uses segmental K-means algorithm for acoustic modeling, and synchronus Viterbi search for decoding.
KSVDchaotic
- 语音压缩感知，观测矩阵采用混沌序列，稀疏字典采用KSVD训练得到。-compressed sensing with chaotic sequence and K-SVD
mean-K-KPCA
- 通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics