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: 使用GMM模式建立的语音识别系统，matlab源代码，供大家参考！-GMM model using the speech recognition system, matlab source code for your reference! Platform: |
Size: 1024 |
Author:王良 |
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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: 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: 基于Matlab平台的语者识别系统
使用mfcc、DTW等算法-Matlab platform, based on speaker identification system using mfcc, DTW algorithm as Platform: |
Size: 3294208 |
Author:ida |
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Description: 使用voicebox进行说话人识别,初步介绍如何用GMM（Gaussian Mixture Model）的方法来进行说话人辨识（Speaker Identification），并在Matlab下，尝试通过调整参数来提高得分-For speaker recognition using the voicebox, initially describes how to use GMM (Gaussian Mixture Model) approach to speaker recognition (Speaker Identification), and in Matlab, try to increase the score by adjusting the parameters Platform: |
Size: 9216 |
Author:戴平平 |
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Description: In this work, the Mel frequency Cepstrum Coefficient
(MFCC) feature has been used for designing a text
dependent speaker identification system. The extracted
speech features (MFCC’s) of a speaker are quantized to a
number of centroids using vector quantization algorithm.
These centroids constitute the codebook of that speaker.
MFCC’s are calculated in training phase and again in testing
phase. Speakers uttered same words once in a training
session and once in a testing session later. The Euclidean
distance between the MFCC’s of each speaker in training
phase to the centroids of individual speaker in testing phase
is measured and the speaker is identified according to the
minimum Euclidean distance. The code is developed in the
MATLAB environment and performs the identification
satisfactorily. Platform: |
Size: 1024 |
Author:abdou |
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Search - speaker identification using matlab