Description: 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 Platform: |
Size: 1024 |
Author:zengxiuhua |
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Description: 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! Platform: |
Size: 1024 |
Author:wenhu |
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Description: 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 Platform: |
Size: 14336 |
Author:sophie |
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Description: 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. Platform: |
Size: 88064 |
Author:chan man man |
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Description: speech recognition using hidden markov model making it speaker independent
Using Matlab 7.5[2008b] Platform: |
Size: 10031104 |
Author:kani |
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Description: 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 Platform: |
Size: 87040 |
Author:hari |
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Description: 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. .
Platform: |
Size: 60416 |
Author:于高 |
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Description: 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 Platform: |
Size: 24576 |
Author:wangliang |
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Description: 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. Platform: |
Size: 2380800 |
Author:arun |
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Search - speaker using matlab