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通过语音mfcc特征参数提取采用k均值算法实现说话人识别功能-Via voice MFCC feature extraction algorithm using k-means function of speaker recognition
Update : 2025-02-19 Size : 5kb Publisher :

DL : 0
说话人识别测试阶段建立说话人模型,采用同一说话人多句训练-Speaker Recognition test phase to establish the speaker model, using the same multi-speaker training sentence
Update : 2025-02-19 Size : 1kb Publisher : zengxiuhua

利用谱减法进行语音去噪!有语音读入功能,适合于进行与语音叠加的噪音的去除!-Using spectral subtraction de-noising voice! Has voice read function, suitable for stacking with the voice of the removal of the noise!
Update : 2025-02-19 Size : 1kb Publisher : wenhu

用vq算法进行说话人识别,能达到良好的效果-Using VQ speaker recognition algorithm can achieve good results
Update : 2025-02-19 Size : 554kb Publisher : 吴杰

用matlab编写的基于VQ的说话人识别算法(工具箱)-Matlab prepared using the VQ-based speaker recognition algorithm (Toolbox)
Update : 2025-02-19 Size : 107kb Publisher : boy

用MATLAB编程,采用VQ算法进行说话人辨认的程序,效果还行-Using MATLAB programming, the use of VQ algorithm for speaker identification procedure, the effect also line
Update : 2025-02-19 Size : 14kb Publisher : sophie

DL : 0
Speaker Verification Toolbox
Update : 2025-02-19 Size : 80kb Publisher : jjcoal

DL : 0
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) speaker identification could be achived. the progress in extraction is also indicated by progress bar.-Wavelet Subband coding for speaker recognitionThe 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) speaker identification could be achived. the progress in extraction is also indicated by progress bar.
Update : 2025-02-19 Size : 86kb Publisher : chan man man

DL : 0
在说话人识别中用mfcc的方法提取语音中的特征量-In the speaker recognition method using MFCC feature extraction voice volume
Update : 2025-02-19 Size : 4kb Publisher : 吴建林

speech recognition using hidden markov model making it speaker independent Using Matlab 7.5[2008b]
Update : 2025-02-19 Size : 9.57mb Publisher : kani

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
Update : 2025-02-19 Size : 1kb Publisher : 雷硕

Speaker Identification using MFCC feature and VQ training, very clear MATLAB code
Update : 2025-02-19 Size : 1.89mb Publisher : Cutie Babe

The main objective behind this project is using speaker recognition for security purposes. By security we mean identification of the speaker and thus granting permission to access details of very high confidentiality
Update : 2025-02-19 Size : 85kb Publisher : hari

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 characteristics 9 (:-Frequency Cepstral Coefficients (9 (: <+(=>( 2 /? 8 ( 0+): 81 (..-/-( 20 @, 9 "88) as the characteristic parameter, taking into account the characteristic parameters for different components of each dimension of the distinction between the speaker level, using weighted approach to vector Quantization. .
Update : 2025-02-19 Size : 59kb Publisher : 于高

Speaker recognition matlab code by dallen ellis
Update : 2025-02-19 Size : 18kb Publisher : joewang

MATLAB下使用Mel倒谱特征进行说话人识别源代码-MATLAB using Mel Cepstrum for Speaker Recognition Source Code
Update : 2025-02-19 Size : 739kb Publisher : 李宁

This includes how to protect the speaker using matlab functions.
Update : 2025-02-19 Size : 371kb Publisher : sri

SPEAKER IDENTIFICATION: A DEMONSTRATION USING MATLAB
Update : 2025-02-19 Size : 327kb Publisher : Tasha

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
Update : 2025-02-19 Size : 24kb Publisher : wangliang

speaker recognition.In 1980, Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. A VQ that is designed using this algorithm are referred to in the literature as an LBG-VQ.
Update : 2025-02-19 Size : 2.27mb Publisher : arun
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