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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

Speaker Identification using MFCC feature and VQ training, very clear MATLAB code
Update : 2025-02-17 Size : 1.89mb Publisher : Cutie Babe

Speaker Identification using MFCC feature and VQ training
Update : 2025-02-17 Size : 323kb Publisher : ali

Speaker Identification using MFCC feature and VQ training
Update : 2025-02-17 Size : 66kb Publisher : ali

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 : 2025-02-17 Size : 24kb Publisher : wangliang

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
Update : 2025-02-17 Size : 3.14mb Publisher : ida

Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods-Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods
Update : 2025-02-17 Size : 2kb Publisher : 卡布

Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods for Model Training -Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods for Model Training
Update : 2025-02-17 Size : 1kb Publisher : 卡布

Features extraction of Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods-Features extraction of Speaker Identification using Mel frequency Cepstral Co-efficients (MFCC) methods
Update : 2025-02-17 Size : 2kb Publisher : 卡布

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

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.
Update : 2025-02-17 Size : 1kb Publisher : abdou
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