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MATLAB-YUYINSHIBIE
完整的基音识别程序,经过修改,测试正确。包含基音检测,DTW,LPCC,MFCC提取等(integrity of the pitch identification procedures, the result of the revision, the test correctly. Pitch Detection included, DTW, LPCC Features, MFCC extraction)
- 2021-04-25 17:18:46下载
- 积分:1
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进程管理器---一个SDK的例子
I:CSDN技术中心 进程管理器---一个SDK的例子(I : CSDN Technology Center process management-- for example an SDK)
- 2004-08-20 19:07:20下载
- 积分:1
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PersonalRecord
非常实用的java小实例,个人录音,实现了很简单的小功能,对于我们初学者很有帮助哦,拿来分享给大家。(Very practical examples of java small, personal recording, to achieve a very simple little feature, very helpful for us beginners Oh, bring to others.)
- 2011-12-06 10:21:11下载
- 积分:1
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dtw
语音识别,dtw算法,matlab程序
语音识别,dtw算法,matlab程序(Speech recognition, dtw algorithm, matlab program speech recognition, dtw algorithm, matlab program)
- 2013-01-10 16:33:04下载
- 积分:1
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speech recognition with DTW
基于DTW算法实现孤立数字及连续数字语句的识别,识别率还可以(内含语音数据集)(Based on DTW algorithm, isolated number and continuous number statements can be recognized, and the recognition rate can also be (including voice data set))
- 2019-05-17 15:27:28下载
- 积分:1
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mfcc_svm
mfcc特征提取法 以及svm训练 可以使用(MFCC feature extraction method and SVM training can be used)
- 2021-04-27 16:28:44下载
- 积分:1
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PAST_disp_signal
基于非线性主分量分析(PAST)的
自适应盲信号分离
(Based on nonlinear principal component analysis (PAST) Adaptive Blind Signal Separation)
- 2009-01-03 19:46:58下载
- 积分:1
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EM_init_kmeans
高斯混合模型参数初始化程序,在对高斯混合模型的建立之前采用KMEANS算法进行初始化(Gaussian mixture model parameter initialization procedure, in the Gaussian mixture model is initialized before the algorithm used KMEANS)
- 2010-11-18 20:28:33下载
- 积分:1
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k
模式识别k聚类算法源代码,c语言内容描述。(Pattern Recognition Chapter )
- 2013-10-24 21:15:19下载
- 积分:1
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LMSmatlab
这 里主要对LMS算法及一些改进的LMS算法(NLMS算法、变步长LMS算法、变换域LMS算法)之间的不同点进行了比较,在传统的LMS算法的基础上发 展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较。(Here mainly on the LMS algorithm and some improvements of the LMS algorithm (NLMS algorithm, variable step size LMS algorithm, transform domain LMS algorithm) between the different points of comparison, in the traditional LMS algorithm developed on the basis of the application of the LMS algorithm. On the other hand from the analysis of RLS algorithm and LMS algorithm for its different characteristics compared.)
- 2021-03-06 12:59:30下载
- 积分:1