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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 : 2025-02-17 Size : 5kb Publisher :

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.
Update : 2025-02-17 Size : 8kb Publisher : santa q

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
Update : 2025-02-17 Size : 281kb Publisher : 戴蜗牛

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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 : 2025-02-17 Size : 4kb Publisher : 吴建林

automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc
Update : 2025-02-17 Size : 563kb Publisher : vikram

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
Update : 2025-02-17 Size : 273kb Publisher : 黄新

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.
Update : 2025-02-17 Size : 2kb Publisher : dtjtracy

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).
Update : 2025-02-17 Size : 91kb Publisher : morteza

speaker recognition using MFCC GMM EM-speaker recognition using MFCC GMM EM
Update : 2025-02-17 Size : 3.58mb Publisher : midou54

speaker recognition using MFCC GMM EM-speaker recognition using MFCC GMM EM
Update : 2025-02-17 Size : 3.58mb Publisher : midou54

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.
Update : 2025-02-17 Size : 742kb Publisher : nakul

mfcc特征参数提取并用矢量量化技术进行说话人识别。-mfcc characteristic parameter extraction and speaker recognition using vector quantization techniques.
Update : 2025-02-17 Size : 9kb Publisher : 毛燕湖

一个基于TI_C5502_DSP平台上的简单说人话识别系统,采用MFCC的特征提取方法和DTW的动态模板匹配方法。-A simple speaker recognition system based on TI_C5502_DSP, using MFCC feature extraction methods and DTW dynamic template matching method.
Update : 2025-02-17 Size : 519kb Publisher : 蔡润博

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.
Update : 2025-02-17 Size : 227kb Publisher : OTHMENE

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
Update : 2025-02-17 Size : 1.55mb Publisher : saurabh

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
Update : 2025-02-17 Size : 220kb Publisher : saurabh

用matlab进行的说话人识别,计算方法是mfcc,识别精度很高(This is a speaker recognition, using mfcc)
Update : 2025-02-17 Size : 433kb Publisher : OrionSirius916
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