Description: 一种新的基于麦克风阵列的近场声源定位和语音分离算法，它结合双波束二维定位和近场最小方差波束形成技术在阵列近场范围内实现声源定位和语音分离。-based on a microphone array of near-field acoustic source localization and speech separation algorithm, It combines two-beam two-dimensional positioning and near-field minimum variance beamforming technology in the array of near-field within the scope of Sound Localization and Speech Separation. Platform: |
Size: 225118 |
Author:xiaobai |
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Description: 一种新的基于麦克风阵列的近场声源定位和语音分离算法，它结合双波束二维定位和近场最小方差波束形成技术在阵列近场范围内实现声源定位和语音分离。-based on a microphone array of near-field acoustic source localization and speech separation algorithm, It combines two-beam two-dimensional positioning and near-field minimum variance beamforming technology in the array of near-field within the scope of Sound Localization and Speech Separation. Platform: |
Size: 225280 |
Author:xiaobai |
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Description: 一篇关于独立分量分析的文章中的源程序，可以用于对两个语音信号的分离-An article on independent component analysis of the source of the article can be used for the separation of two speech signals Platform: |
Size: 4096 |
Author:dh |
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Description: 盲信号分离(BSS)是指在对彼此独立的源信号混合过程及各源信号本身均未知的情况下，从混合信号中分离出这些源信号的方法。BSS可以用来从多个麦克风混合语音信号中提炼出单个语音信号。本文简要阐述LMS、RLS算法，并通过仿真实验来分析比较这两类方法的性能，并利用此方法对一实际的语音信号进行分离。-Blind Signal Separation (BSS) is defined as independent of each other mixed-signal process and the source of the signal itself are unknown circumstances, from the mixed-signal to isolate the source of these signals. BSS can be used from multiple microphones mixed voice signal to extract a single speech signal. This paper briefly described LMS, RLS algorithm, and through simulation experiments to analyze the comparative performance of these two types of methods and take advantage of this method on a real speech signal separation. Platform: |
Size: 1164288 |
Author:贡晓飞 |
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Description: 盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。-Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied. Platform: |
Size: 1024 |
Author:msw |
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Description: In frequency-domain blind source separation (BSS) for speech with independent component analysis (ICA), a practical parametric Pearson distribution system is used to model the distribution of frequency-domain source signals.-In frequency-domain blind source separation (BSS) for speech with independent component analysis (ICA), a practical parametric Pearson distribution system is used to model the distribution of frequency-domain source signals. Platform: |
Size: 21504 |
Author:刘海 |
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Description: 几路语音信号的盲源分离，采用FDICA，有图形化界面，特别适合中级学者-Several road blind source separation of speech signals, using FDICA, a graphical interface, especially for intermediate and scholars Platform: |
Size: 825344 |
Author:陈通 |
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Description: 改程序为matlab代码，其内容为实现基于信息最大化的盲源分离算法。该算法主要应用于图像处理，语音信号处理及雷达信号处理当中。-Reform program for the matlab code, which reads the information-based blind source separation algorithm to maximize. The algorithm is mainly used in image processing, speech signal processing and radar signal processed. Platform: |
Size: 3072 |
Author:马骆 |
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Description: 一种使用时空结构的盲源分离算法，使用matlab实现- An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals ica_matlab Platform: |
Size: 2053120 |
Author:rlovek |
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Description: 盲信号语音分离的程序，基于独立分量的分离程序，若输入两个源信号，则可以输出一组混合信号和分离后的信号-Blind signal speech separation procedure, based on independent component separation procedure, enter the two source signals, the output signal after a group of mixed-signal and separation Platform: |
Size: 1024 |
Author:ni |
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Description: 这是实际环境中语音信号盲分离的最新程序源码代码，用于语音信号独立分量分分析ICA。解压后运行，输入录制的混合语音信号即可看到结果。 可直接使用。
-This is the program source code for blind separation of speech signals in the real environment for the voice signal of independent component analysis of the ICA. After decompression run, mixed voice signal input recording to see the results. Can be used directly. Platform: |
Size: 1024 |
Author:对手 |
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Description: 盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音和地震信号处理等领域有着广阔的应用前景。一种基于负熵最大的FastICA算法用于实现盲信号分离。。该方法的基本思路是以非高斯信号为研究究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。
-Blind signal separation is one of the hot topics of signal processing research has broad application prospects in the field of wireless data communications, medical, speech and seismic signal processing. Based on negative entropy FastICA algorithm for blind signal separation. . The basic idea of this method is non-Gaussian signal study subjects for the study, the hypothesis of independence, the observed signal of the multi-channel blind source separation. Meet certain conditions, from the signals of multiple observations, good separation of independent source signals implied. Platform: |
Size: 1024 |
Author:zmougang |
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Description: 完成欠定盲语音分离，源信号为3路输入，有2路麦克风，用c实现。-Underdetermined blind speech separation is completed, the source signal is 3 inputs, 2 mic, with c achieve. Platform: |
Size: 3784704 |
Author:王建明 |
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Description: 在MATLAB环境中，得到语音信号的散点图，STFT变换和小波包变换。-In the MATLAB environment to obtain a scatter plot of the speech signal, STFT transform and wavelet packet transform. Platform: |
Size: 306176 |
Author:yinshuangfeng |
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