搜索资源列表
svmshiyancx
- 实现基于SVM的说话人识别，其算法比传统的svm有所改进，鲁棒性更强-SVM-based speaker recognition, and improvements in the algorithm than the traditional svm more robust
m
- 基于HMM或者GMM模型的说话人识别系统的实现及改进-Speaker recognition system based on HMM or GMM model and improvement
VQ-GUI
- 基于矢量量化（ＶＱ）的说话人识别，只需输入训练文件夹，即可训练和识别。-Vector quantization (VQ) based speaker recognition, simply enter the training folder, to training and recognition.
wave2mfcc
- 一个非常好的说话人识别特征提取程序，直接对wav文件操作，提取mfcc语音特征值，通过调试-A very good speaker recognition feature extraction process, directly on the wav file, the extraction mfcc voice eigenvalue, through the debugger
gmm_estimate
- gmm模型训练程序，说话人识别系统中基于GMM的说话人识别方法中，对特征参数进行模型训练的函数-gmm model training program, speech recognition system GMM speaker recognition method based on the characteristic parameters of the model training function
SrecogTesstp
- 说话人识别中,最后带测语音匹配阶阶段.利用DTW算法实现可直接使用。 -Speaker Recognition in the final with a measured voice to match the order stage. DTW algorithm can be used directly.
Aspeakerrecogb
- 摘要说话人识别在自动身份鉴别方面具有重要的现实意义。文章在分析了说话人识别实现的可行性基础上*提出采用长时线性预测倒谱 +,--.,)系数和矢量量化 /0)模型的不依赖于文本的说话人识别方法，并成功地地应用于一个数据库查询系统中-Abstract Speaker recognition has important practical significance in terms of automatic authentication. The article analyzes achieve th
GMM_kmeans_mix
- 用于说话人识别（声纹识别）训练过程或识别过程的高斯混合模型-GMM model for training process or testing process of Speaker recognition
GMM_SID
- 用于说话人识别（声纹识别）中训练过程和识别过程的高斯混合模型程序-GMM model for the training process or test process of speaker identification
score_tradeoff
- 计算说话人识别系统的全局EER，DCF和平均EER，DCF-Calculation of the overall situation of the speaker recognition system the EER, DCF and average EER, DCF
equinox-srepm_V1
- 计算说话人识别系统的全局EER和DCF，以及平均的EER，DCF-Calculation of the overall situation of the speaker recognition system EER and DCF, and average EER, DCF,
lpmfcc
- 非线性特征倒谱系数lpcc与美尔倒谱系数mfcc融合进行说话人识别的程序。-Nonlinear characteristics Cepstral Coefficients lpcc the Mel cepstral coefficients mfcc fusion speaker recognition program.
mfcc-vq
- mfcc特征参数提取并用矢量量化技术进行说话人识别。-mfcc characteristic parameter extraction and speaker recognition using vector quantization techniques.
SpeakerRecognitionsystem_mfcc
- 说话人识别的一个完整例子，包括分帧、特征提取（MFCC）、分类器（矢量量化VQ），训练阶段和识别阶段分为两个函数，包含样本语音文件，设置好路径，点击main函数即可直接运行。-A complete example of speaker recognition, including framing, feature extraction (MFCC), classification (vector quantization VQ) training phase and recognition ph
yy
- 说话人识别的特征提取的基音周期检测算法和语谱图-Pitch detection algorithm for speaker recognition, feature extraction and spectrogram
p25E5p259Bp25BPp283p29-(1)
- 国际上最新说话人识别源代码，用MATALB编程实现。-The latest speaker recognition source code
training_NewSpeaker
- 高斯混合模型训练新的说话人模型用于说话人识别中-Gaussian mixture model training new speaker model for speaker recognition
gmmkmeans
- 高斯混合模型K均值算法matlab源程序用于说话人识别中-Gaussian mixture model K-means algorithm matlab source code for speaker recognition
testEnd
- 端点检测的matlab程序，用于说话人识别中和语音识别中-Endpoint detection matlab program for speaker recognition and voice recognition
pdfgauss
- 高斯混合模型pdfguass函数源程序用于说话人识别中，-Gaussian the mixed model pdfguass function source for speaker recognition