搜索资源列表
speakerrecognition
- 说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别-Speaker identification procedures, using MFCC extraction, and the establishment of GMM model to identify
speaker recognition
- 这个是用Matlab写成的说话人识别演示程序。-Currently, there are more than 20 classes in this library, including commonly used feature extraction algorithms and modeling techniques for speech recognition and speaker verification.-Currently, there are more than 20 classe
sbc
- Wavelet Subband coding for speaker recognition The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM
Kjunzhijulei
- 用于说话人识别初始化样本的聚类算法 调试成功-Speaker Recognition for initialization of the clustering algorithm samples
science_17
- Utterance partitioning with acoustic vector resampling for GMM–SVM speaker verification
science
- Advances in SVM-Based System Using GMM Super Vectors for Text-Independent Speaker Verification
A-Hybrid-GMMSVM-System-for-Text
- GMM-SVM combined for speaker verification-GMM-SVM combined for speaker verification
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
SyntheticSpeechDetector
- computes inter frame differenc of log likelihood of calimed speaker s GMM.
MSR-Identity-Toolkit-v1.0
- 微软研究院的说话人识别工具包，包括GMM-UBM、I-Vector。其中demo_gmm_ubm_artificial.m和demo_ivector_plda_artificial.m为生成模拟特征参数进行训练与识别的教学示例，十分适合初学者学习说话人识别基础算法。具体使用方法请看内部文档。-Microsoft Research s speaker recognition toolkit, including GMM-UBM, I-Vector. Demo_gmm_ubm_artificial.
speaker-recognition
- 基于mfcc和gmm的说话人识别系统，go.m为主程序。 部分程序采用的是台湾张智星先生编写的sar和dcpr工具箱，在此表示感谢。-Mfcc and gmm based speaker recognition system, go.m main program. Part of the program is used in Taiwan, Mr. Zhang Zhi Xing written sar and dcpr toolbox to express my gratitude.
Speaker-recognition-based-on-GMM
- 本代码是主要实现基于GMM算法的说话人识别功能，属于现在比较热门的人工智能领域。-The code is mainly to achieve Based on GMM speaker recognition algorithms, it is now more popular field of artificial intelligence.
107551700916第九次作业
- 语音处理说话人识别 人工智能 ，实现基于VQ和GMM的说话人识别系统，通过增减训练数据或调整系统参数，对比分析一下基于VQ和GMM的说话人识别系统性能差别。(Speech processing speaker recognition, artificial intelligence realization of speaker recognition system based on VQ and GMM, through the training data increase or decrea
基于高斯混合模型（GMM）的说话人识别matlab
- 基于GMM的话者识别matlab程序，训练运行train.m,识别运行recog.m(speaker identification system based on GMM)