搜索资源列表
speaker_recognition
- 国际上最新的说话人识别算法的源程序，内置语音训练数据-The latest international speaker recognition algorithm source code, built-in voice training data
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
voicebox
- 在做和语音信号处理相关的项目时要用到的语音工具箱,比如语音识别,说话人识别等,里面有一些已经封装好的小函数,可供大家编程序的时候直接调用-In speech signal processing to do and projects related to voice use toolbox, such as speech recognition, speaker recognition, etc., there are some good small function package for ev
speeker
- 一个跟说话人识别相关的资料，非常适合入门，精彩不容错过呀-A speaker recognition with the relevant information is well suited to introduce the best of me not to be missed
a_novel_speake_identification_system_based_on_GMM_
- 文中详细介绍了一种基于GMM 与 SVM的说话人识别系统。包括特征提取，算法实现及实验数据。对语音处理及说话人识别技术的研究者很有帮助。-Introduce a novel speake identification system based on GMM and SVM,with feature extract,algorithm research and experiment data.This doc would be helpful to those who are working on
text
- 在MATLAB环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下，利用该语音识别系统，对不同的人的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。-In the MATLAB environment VQ-based Speaker Recognition System. In real-time recording, the use of the voice recognition system, for different people to carry out voice
dtw
- 利用DTW算法进行说话人识别,语音可以自己替换-DTW algorithm using Speaker Recognition
recogTest
- 说话人识别中,最后带测语音匹配阶段.利用DTW算法实现-Speaker recognition, the last swath of voice matching stage. The use of DTW algorithm
GAUSS
- Gray先生的大作，描述高斯混合矢量量化方法进行说话人识别的方法-Daisaku Mr. Gray describes the Gaussian mixture vector quantization approach to speaker recognition method
fd4
- 说话人识别、声纹识别 MATLAB程序及清单-SPEAKERID
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
GMM
- :高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能，得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions
mfccandvc
- 文章介绍的说话人识别系统，采用能够反映人对语音的感知特性的9(:频率倒谱系数（9(: <+(=>(2/?8(’0+): 81(..-/-(20@，9<88）作为特征参数，同时考虑到特征参数各维分量对于不同说话人的区分程度，采用加权的办法进行矢 量量化。-This paper introduces the speaker recognition system used to reflect the people s perception of voice characte
safjfd
- 首先分析了典型说话人识别系统的各关键技术，详细分析了矢量量化技术在 说话人识别中的应用，研究了码本训练算法以及说话人判别算法，对算法中各参 数值的选取进行了讨论 其次根据系统的需求建立一个小的语音库，录制语音信 号，并对采集的语音信号进行预处理，检测语音信号的起始端点 在MATLAB 环境下仿真说话人识别系统，验证系统设计方案的可行性:特征提取阶段，提取 语音信号的12阶美尔倒谱系数以及各阶倒谱系数对应的1阶差分倒谱系数，在 训练阶段，采用分裂法和GLA算法相结合的矢量量
dtw
- 本资料是自己编写的基于MATLAB语音工具箱的DTW动态时间规整的说话人识别，具有很高的识别率-This information is written in their own voice-based MATLAB toolbox DTW dynamic time warping speaker recognition with high recognition rate
hmm
- 基于语音信号工具箱的隐马尔科夫HMM模型的说话人识别，请联系lishicheng64@126.com-Speech signal based on HMM toolbox Hidden Markov Model speaker recognition, please contact lishicheng64@126.com
VQ_based_speaker_recognition
- 使用矢量量化的方法进行说话人识别，用matlab编写 -Vector quantization method using speech recognition, written with matlab
UnderdeterminedSeparationofInstaneousSpeechMixture
- 详细描述了关于几个同时说话人语音分离的情况，其中包括了原代码和测试语音，测试结果表明分离效果很好，能够区分不同人说话的语音，明显提高语音识别率。其中的参考论文在readme中。-A detailed descr iption about several while speaking voice separate conditions, including the original code and test speech, test results show that the effect is
GMMspeakers
- 用高斯混合模型来实现说话人识别的源代码，识别效果挺好的-Using Gaussian mixture model to achieve the source code for speaker recognition, recognition results in very good shape
speaker
- 这个一个使用matlab编的说话人识别和确认系统-The matlab code that uses speaker identification and verification system