搜索资源列表
endpointdetection
- 语音检测的目的是在一串连续的记录信号中将重要的信息分离出来。在电信应用领域,语音检测是必需的。对于自动语音识别,端点检测在分离重要语音信息时是必需的,这样可以产生语音模式或语音模板。-Voice detection is aimed at a string of consecutive records of information important signal will be separated. At the field of t
icamatlabcodeforsignalprocessing
- ica语音信号分离的程序,带有实验录音和图片,可直接进行操作和原代码分析。-ica voice signal separation procedure, with experimental audio and picture, can be directly carried out the operation and analysis of the original code.
stestandst
- S变换的matlab源码,并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容,现在在信号处理,地震勘探,语音识别等领域都开始了对它的应用研究,是目前的一个热点。-S transform matlab source, and apply some signal as an example to illustrate how to use s and s transform tra
ica_r
- 带参考信号的盲源分离,很好用的程序,用于语音增强-ICA-R
fastICA
- fastica在matlab中的应用 包括源码及模块 基于ica的语音分离技术-fastica in matlab application, including source code and modules ica-based voice separation technology
ica
- 基于ica的语音分离技术,研究生论文-Ica-based voice separation technology, post-graduate thesis
xiaobobianhuan
- 利用小波变换多尺度分析的特性,在小波域的各个尺度上选取不同的阈值对基本的频域谱减法进行改进,并且根据清浊音各自不同的特点,在去噪过程中加以分离,保留了语音中的清音成分,使语音更加饱满。-The use of multi-scale wavelet analysis of the characteristics of the individual in the wavelet domain scale threshold select a
AMUSE
- AMUSE,独立成分分析(ICA)算法之一,用于混合语音信号的盲分离-AMUSE, algorithm of independent component analysis, used in blind speech signal separation.
sobi
- SOBI算法,基于二阶统计量的独立成分分析算法,用于混合语音的盲分离。-SOBI algorithm, Second-Order Blind Identification algorithm, used in blind speech signal separation
ogrady2007_phd
- 国外欠定语音盲分离的博士论文,作者为Paul D. O’Grady,LOST算法的作者。该博士论文包括语音信号分离,非负矩阵分解等内容。-Sparse Separation of Under-Determined Speech Mixtures,A dissertation submitted for the degree of Doctor of Philosophy
DirectSound
- 深入分析vc++,编程实现语音信号处理,用于对各种语言信号的回音及分离,提供给大家,请多指教-Depth analysis of the vc++, programming speech signal processing, used for a variety of languages and the separation of echo signals available to everyone like him Zhijiao
jcwtlib-0.01.tar
- 独立成分分析(Independent Component Analysis, ICA)是近年来发展起来的一种有效的盲分离技术,最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题,其过程可以归纳为,在源信号与传输通道参数均未知的情况下,仅根据源信号的统计特性,出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据,即目标函数,并设计相应的优
jade
- 盲分离算法,处理语音信号,方法简单,实用!-bbs
voice
- 基于瞬时线形混合模型的语音信号分离的MATLAB程序-Instantaneous linear mixing model based on speech signal separation MATLAB program
specbandvar_SingleVoice
- 基于频率方差和子带分离的语音端点检测程序,基于matlab开发-based on specband var Vad detection programe,using matlab
BSS_Demo4SP_20Mar2k5
- 一个盲源分离的GUI界面,本程序可完成语音信号的独立分量分析。-A blind source separation GUI interface, this program can be completed independent component analysis of speech signals.
mangxinhaoyuyinfenli
- 这是一些有关语音信号盲分离方面的外国文献,很有参考价值!该文献言简意赅,容易理解!-These are the blind separation of speech signals of foreign literature, a good reference! The literature concise, easy to understand!
ICAforspeech
- 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
blindsourceseparation
- 固定步长和变步长批处理自然梯度语音盲分离算法,包括主程序和调用程序。-Fixed step and variable step-size batch natural gradient algorithm for blind separation of speech, including the main program and the calling program.
CFICA_11
- 语音信号盲分离的一个号用的程序给大家共享,希望对大家有用-Blind separation of speech signals with a number of procedures to share, we hope to be useful