Description: 语音识别中的矢量量化（vq）的matlab程序，希望可以帮到需要的人-Speech Recognition vector quantization (vq) Matlab procedure, the desire to help people in need Platform: |
Size: 2108 |
Author:柳俊峰 |
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Description: 语音识别中的矢量量化（vq）的matlab程序，希望可以帮到需要的人-Speech Recognition vector quantization (vq) Matlab procedure, the desire to help people in need Platform: |
Size: 2048 |
Author:柳俊峰 |
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Description: 很好的MATLAB开发源程序
基于VQ矢量量化的语音识别程序-MATLAB to develop a very good source of vector quantization VQ-based speech recognition procedures Platform: |
Size: 9216 |
Author:cq |
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Description: In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal is given as the input will be verified using speech recognition technique using matlab. We have used Mel Frequency Cepstral Coefficient (MFCC) along with Vector Quantization (VQLBG) and Euclidean Distance to identify different characters. Based on the results, data was send to Parallel Printer Port of the computer & using relay different devices will be controlled.
Platform: |
Size: 2048 |
Author:SimonKap22 |
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Description: 语音信号数字处理是一门涉及面很广的交叉科学，这本书介绍了语音信号的数字表示，矢量量化，隐马尔科夫模型，语音合成，语音识别，语音增强，说话人识别等知识-Speech signal digital processing is a wide-ranging cross-science, this book describes a digital representation of the speech signal, vector quantization, hidden Markov models, speech synthesis, speech recognition, speech enhancement, speaker recognition of such knowledge Platform: |
Size: 23527424 |
Author:张玉 |
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Description: 语音信号处理矢量量化的LBG算法，又称K-mean 算法-in speech signal process vector quantization technology using LBG algorithm with matlab language Platform: |
Size: 1024 |
Author:renfangqin |
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Description: 基于矢量量化的孤立词语音识别系统看，性能良好，Matlab 实现！-Based on vector quantization of isolated word speech recognition system to see, good performance, Matlab to achieve! Platform: |
Size: 309248 |
Author:韩用 |
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Description: 张雪英“数字语音信号处理及matlab仿真”部分源代码，包括线性预测，矢量量化等-ZHANG Xue-Ying " digital speech signal processing and matlab simulation" part of the source code, including linear prediction and vector quantization Platform: |
Size: 367616 |
Author:quan |
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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 - speech vector quantization matlab