Description: about test normalization(t-norm) which is applicable for speaker verification score normalization Platform: |
Size: 151552 |
Author:Azeb wub |
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Description: This a paper about Joint Factor Analysis used in Speaker Verification-This is a paper about Joint Factor Analysis used in Speaker Verification Platform: |
Size: 168960 |
Author:meelad |
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Description: Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. These
parameters must often be estimated from noisy observations since speech signals are
rarely obtained in ‘clean’ acoustic environments in the real world. As a result, the
parameter estimation algorithms we employ must be robust to environmental factors
such as additive noise and reverberation. In this work we derive and evaluate approximate Bayesian algorithms for the following speech processing tasks: 1) speech
enhancement 2) speaker identification 3) speaker verification and 4) voice activity
detection. Platform: |
Size: 1728512 |
Author:an mchol |
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Description: 为了更好地理解说话人确认和ALIZE工具的基础知识，我们推荐仔细阅读i-vector教程，因为它也包含functionnalities
这不是在其他部分描述的，也可以是有用的。
该程序包括基于ALZIE的i向量的说话人识别的指导步骤。-For a better understanding of the basics of speaker verification and the ALIZE toolkit, we recommand to read the i-vector tutorial carefully as it also contains functionnalities
which are not described in other parts but may be useful.
i-vector speaker recognition guidance steps. Platform: |
Size: 4400128 |
Author: |
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Description: 说话人确认系统，基于论文里面经典的方面，里面用到的方法里面都有paper，可以自己仔细查看详细的算法。-Speaker verification system, based on the classic paper, use method has a paper inside, inside can take a closer look at the detailed algorithm Platform: |
Size: 5146624 |
Author:郑洪凯 |
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Description: 提取语音的MFCC特征参数，在语音识别（Speech Recognition）和话者识别（Speaker Recognition）方面，最常用到的语音特征就是梅尔倒谱系数（Mel-scale Frequency Cepstral Coefficients，简称MFCC）。-MFCC feature parameters extracted speech, speech recognition (Speech Recognition) and speaker verification (Speaker Recognition) terms, the most commonly used speech features that Mel Cepstral (Mel-scale Frequency Cepstral Coefficients, referred MFCC). Platform: |
Size: 1755136 |
Author:pxchen |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了temp算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 temp1， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining temp algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 temp1, 3 test 4, the output result. Platform: |
Size: 4096 |
Author:ugdnpe |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了hZwIpm算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 sDOkQcm， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining hZwIpm algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 sDOkQcm , 3 test 4, the output result.
Platform: |
Size: 6144 |
Author:2ljh3j |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了jimxWf算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 zJUnJxL， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining jimxWf algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 zJUnJxL , 3 test 4, the output result.
Platform: |
Size: 6144 |
Author:tr4lam |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了cVnDbN算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 kLMAhvJ， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining cVnDbN algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 kLMAhvJ , 3 test 4, the output result.
Platform: |
Size: 5120 |
Author:peif8p |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了cnxdUj算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 LlFzCyD， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining cnxdUj algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 LlFzCyD , 3 test 4, the output result.
Platform: |
Size: 9216 |
Author:zlpj7n |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了cRHncb算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 qPCIvIP， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining cRHncb algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 qPCIvIP , 3 test 4, the output result.
Platform: |
Size: 7168 |
Author:oj7q6l |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了ALSnRR算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 BopfSmh， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining ALSnRR algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 BopfSmh , 3 test 4, the output result.
Platform: |
Size: 7168 |
Author:apcuqq |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了DVTwur算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 hUXjftD， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining DVTwur algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 hUXjftD , 3 test 4, the output result.
Platform: |
Size: 6144 |
Author:uf6o5z |
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Description: 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了EGcQTt算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 DeSxfzx， 3 测试 4， 输出结果。
-Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining EGcQTt algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 DeSxfzx , 3 test 4, the output result.
Platform: |
Size: 5120 |
Author:u0ovmn |
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