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语音聚类示例
实验示例是基于语音中的mfcc,语音倒谱特征来进行聚类,先利用训练样本来计算训练样本聚类中心(用到了lbg算法),之后再进行分类。
注意:使用代码时需要自己更改文件路径。(This example is based on the MFCC in speech and the feature of speech Cepstrum to cluster. First, the training sample is used to calculate the training sample clustering center (using the LBG algorithm), then the classification is then carried out.)
- 2018-04-02 09:19:02下载
- 积分:1
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VQ_LBG_newdistortion
语音编码中对LSF系数进行VQ处理,LBG方法生成VQ码书,且采用了新的失真测度(Speech Coding for VQ processing LSF coefficients, LBG method of VQ codebook generation, and adopted a new measure of distortion)
- 2021-04-21 23:18:49下载
- 积分:1
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voice-conversion--MFCC-GMM
实现多个人的说话人识别,基于gmm模型,用mfcc参数训练(voice conversion based on gmm)
- 2013-10-16 22:52:27下载
- 积分:1
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28584474
模拟实验-C#版基于二分查找的稳定“插入排序”算法(Simulation experiment-stable insert sort algorithm based on dichotomous search in C # version)
- 2019-05-10 19:56:34下载
- 积分:1
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smart_car
手机端蓝牙连接设备(以小车为例),通过按键、本地语音识别(pocketsphinx)和重感控制设备,蓝牙连接地址在BluetoothTools中修改,本地需要配置NDK环境才能编译。(Bluetooth mobile client devices (for example in the car), buttons, local speech recognition (pocketsphinx) and heavy sense of control devices, Bluetooth connectivity address BluetoothTools modify the local environment can be configured to compile NDK.)
- 2014-05-05 20:34:27下载
- 积分:1
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blockframes
语音信号处理中用于说话认识别中预处理部分的分帧函数代码(Speech signal processing for speech understanding in other parts of the sub-frame in the pre-function code)
- 2011-05-17 14:30:42下载
- 积分:1
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MMSE_IC
基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波(based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter)
- 2020-06-29 23:00:01下载
- 积分:1
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matlab_hps_testing
Pitch Detection MATLAB
- 2018-04-27 12:37:44下载
- 积分:1
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viocerecognition
用于汉语语调识别的程序,可以识别我们说话中的四个声调。已通过测试(Chinese tone recognition for the program, has been tested)
- 2009-04-20 08:47:23下载
- 积分:1
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speech-enhancement
本资料涵盖了几乎所有的语音增强方面的方法,主要有谱减法,听觉掩蔽,最小均方误差,维纳滤波以及一些非主流的方法,这些对于研究语音增强的人来说是很有帮助的(The data cover almost all aspects of speech enhancement methods, the main spectral subtraction, auditory masking, minimum mean square error, Wiener filtering as well as some non-mainstream approach, which for the study of speech enhancement is helpful for people who)
- 2021-05-13 09:30:03下载
- 积分:1