Description: 语音识别中提取特征向量和进行特征向量比对的DTW源代码-Speech Recognition feature extraction and feature vectors to the right than the source code DTW Platform: |
Size: 4096 |
Author:ziritu |
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Description: 这是个说话人识别的源码,希望对大家在点和-This is a speech recognition source code, we hope that the right point and Platform: |
Size: 613376 |
Author:yj |
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Description: MFCC参数很好的反映了人耳的听觉特性,所以在语音识别中我们也用到他,本代码是用matlab仿真了MFCC 参数的提取过程.-MFCC parameters well reflected the auditory characteristics of the human ear, so in speech recognition, we also used him, and this code is used matlab simulation parameters of the MFCC extraction process. Platform: |
Size: 1024 |
Author:chengbin |
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Description: 一个可执行的HMM语音识别程序例程,实现了对10个数字音的识别程序,包含了HMM语音识别中的分段,MFCC特征提取,Baum-Welch训练,及Viterbi等算法,通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welch based re-estimation and Viterbi algorithm involved in HMM. it helps much better understand the HMM algorithm and its application for speech recogntion. Platform: |
Size: 1179648 |
Author:wh |
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Description: 这个我用matlab写的一个简单易懂孤立词语音识别的程序源码,其中同过预处理,MFCC提取取,与DTW算法的比较,如果大家愿意,还能用这个与LABVIEW联合编程与开发 可直接使用。
-I used Matlab to write a simple isolated word speech recognition program source code, which the same pretreatment, MFCC extraction to take with the DTW algorithm, if we can use this and LABVIEW joint programming and development can be directly to use. Platform: |
Size: 3072 |
Author:xlli |
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Description: 语音识别mfcc关键代码matlab代码描述,可以作为借鉴-The speech recognition mfcc Key code matlab code description, can be used as a reference Platform: |
Size: 1024 |
Author:Steven.zhang |
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Description: 基于MFCC的语音信号处理的MATLAB代码,能够提取语音信号的MFCC参数-The speech signal processing based on MFCC MATLAB code, and can extract MFCC parameters of speech signal Platform: |
Size: 1024 |
Author:刚子 |
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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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Description: 语音识别MFCC特征提取matlab代码。 「梅尔倒频谱系数」(Mel-scale Frequency Cepstral Coefficients,简称MFCC),是最常用到的语音特征,此参数考虑到人耳对不同频率的感受程度,因此特别适合用在语音辨识。-Speech recognition MFCC feature extraction matlab code. \ Mel cepstrum coefficient (Mel- scale Frequency Cepstral Coefficients, MFCC), is the most commonly used to the phonetic characteristics of this parameter given ear to the feelings of different frequencies, so especially suitable for use in speech recognition Platform: |
Size: 1024 |
Author:Katherine |
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