Description: 说话人识别中,采用MFCC_D时的主程序,同样包括提取,训练,识别三步。-Speaker Recognition using MFCC_D when the main program, also including the extraction, training, identification of three steps. Platform: |
Size: 8192 |
Author:santa q |
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Description: 用labview实现的基于mfcc的说话人识别,测试的结果不是太理想,但体现的思想应该对labview的学习有所帮助-Using LabVIEW realize the MFCC-based speaker recognition, the test results are not too ideal, but should embody the idea of learning LabVIEW help Platform: |
Size: 287744 |
Author:戴蜗牛 |
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Description: automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc Platform: |
Size: 576512 |
Author:vikram |
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Description: 采用增减特征分量的方法研究了MFCC 各维倒谱分量对说话人识别和语音识别的贡献-Changes in characteristics of components using the method of the MFCC cepstrum of each dimensional component of the speaker recognition and speech recognition of the contribution Platform: |
Size: 279552 |
Author:黄新 |
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Description: 本程序是基于matlab的语者识别系统。采用mfcc算法进行提取语音特征,用gmm算法进行匹配。-This procedure is based on a speaker recognition system matlab. Mfcc algorithm using speech feature extraction, matching algorithms using gmm. Platform: |
Size: 2048 |
Author:dtjtracy |
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Description: Usually, speaker recognition systems do not take into account the short–term dependence between the vocal source and the vocal tract. A feasibility study that retains this dependence is presented here. A model of joint probability functions of the pitch and the feature vectors is proposed. Three strategies are designed and compared for all female speakers taken from the SPIDRE corpus.
The fi rst operates on all voiced and unvoiced speech segments (baseline strategy). The second strategy considers only the voiced speech segments and the last includes the short–term pitch information along with the standard MFCC. We use two pattern recognizers: LVQ–SLP and GMM. In all cases, we observe an increase in the identifi cation rates and more specifi cally when using a time duration of 500 ms (6 higher).-Usually, speaker recognition systems do not take into account the short–term dependence between the vocal source and the vocal tract. A feasibility study that retains this dependence is presented here. A model of joint probability functions of the pitch and the feature vectors is proposed. Three strategies are designed and compared for all female speakers taken from the SPIDRE corpus.
The fi rst operates on all voiced and unvoiced speech segments (baseline strategy). The second strategy considers only the voiced speech segments and the last includes the short–term pitch information along with the standard MFCC. We use two pattern recognizers: LVQ–SLP and GMM. In all cases, we observe an increase in the identifi cation rates and more specifi cally when using a time duration of 500 ms (6 higher). Platform: |
Size: 93184 |
Author:morteza |
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Description: this drives a motor based on speaker and speech recognition using mfcc algorithm for speaker recognition and yule walker based power spectrum analysis to perform speech recognition,also uses vqsplit algorithm to reduce data set computation. Platform: |
Size: 759808 |
Author:nakul |
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Description: FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This
paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The
objective of using MFCC for hand gesture recognition is to explore the utility of the MFCC for image
processing. Till now it has been used in speech recognition, for speaker identification. Platform: |
Size: 232448 |
Author:OTHMENE |
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Description: The short synopsis consists of the explanation for speaker recognition using gmm and mf-The short synopsis consists of the explanation for speaker recognition using gmm and mfcc Platform: |
Size: 1620992 |
Author:saurabh |
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Description: The document consists of screenshot results for the project on speaker recognition using gmm and mf-The document consists of screenshot results for the project on speaker recognition using gmm and mfcc Platform: |
Size: 225280 |
Author:saurabh |
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