Description: 语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use. Platform: |
Size: 1741 |
Author:杨洁 |
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Description: 语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use. Platform: |
Size: 1024 |
Author:杨洁 |
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Description: Speaker Recognition by training GMM models for the speakers in the system. Also tells if there s an impostor in the system. Platform: |
Size: 560128 |
Author:sam |
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Description: 是清华大学的一位博士后做的关于说话人识别的报告，对于说话人识别的内容总结的很详细。-Tsinghua University, a post-doctoral do the report on Speaker Recognition, Speaker Recognition for the contents of the summary of very detailed. Platform: |
Size: 384000 |
Author:张艺 |
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Description: 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 Platform: |
Size: 24576 |
Author:wangliang |
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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: 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 Platform: |
Size: 3294208 |
Author:ida |
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Description: 这个是说话人识别中EET曲线的关键程序，对说话人识别非常重要。-This is a procedure about the DET curve in speaker verification, which is so important for speakerrecognition Platform: |
Size: 586752 |
Author:laiyuping |
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Description: 一个基于HMM的说话人识别的源程序程序和列子-Copy all files in Matlab current directory
and type "speakerrecognition" on Matlab command
window.
After unzipping the file correctly, you will find two folders,
TRAIN and TEST, each contains some files,
named: S1.WAV, S2.WAV, ? each is labeled after the ID of the speaker.
These files were recorded in Microsoft WAV format. In Windows systems, you can
listen to the recorded sounds by double clicking into the files. Platform: |
Size: 6144 |
Author:zq |
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Search - speakerrecognition