matlab由频域变时域的代码-speaker-recognition:说话人识别
matlab由频域变时域的代码EEC-201
[说话者识别]
♪我周围都是熟悉的面Kong..但是现在他们是熟悉的声音...♫
团队：敬业的工程师
这个项目是由Aakansha和Sadia共同完成的，目的是使用MFCC，VQ和LBG算法来实现说话人识别。
Sadia从事过预加工和MFCC。
Aakansha从事LBG，噪声添加和陷波过滤方面的工作。
培训，测试和分析写作是同时进行的。
介绍
在当今世界大流行和隔离的情况下，从字面上看，我们的声音变得越来越重要。
由于通信仅限于虚拟，因此通过面对面或通过指纹进行的身份验证已经过时。
但是，正如我们的脸部和指纹独特一样，我们的声音也具有鲜明而可区分的特征。
如我们的项目所示，计算机程序比人耳能够更好地识别这些功能。
我们使用模式识别或特征匹配实现说话人识别系统，其中将从输入语音信号中提取的声学矢量序列分类为各个说话人ID。
具体来说，我们的系统是监督模式识别的一种实现，其中数据库由训练集中的已知模式组成，这些模式与测试集进行比较以评估我们的分类算法。
有两种方法可以进行说话人识别-依赖文本和不依赖文本。
依赖于文本的说话者识别策略要求说话者
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