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zishiyingduixiao
- 自己编的,改进的自适应语音增强算法,且参考噪声与输入噪声不相关。-Own, and improved adaptive speech enhancement algorithm, and the reference noise and input noise are not relevant.
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
DSP
- DSP的资料,帮助初学者进门,里面都硬件和软件都有-DSP data to help beginners door, which are both hardware and software
hhh
- :由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效, 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取, 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性. 在此基础上, 应用 I C A基函数作为滤波器, 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验. 结果表明, 本方法明显优于传统的均值滤波和小波去噪 方法, 为强背景噪声下弱信号的检测提供 了新的途径.-: As many of the t
3.0
- 谱减法语音增强程序,可以给初学者提供学习的参考。-Spectral subtraction speech enhancement procedure can give a reference for beginners to learn.
pujian-M
- 基于谱减法的语音信号增强源码,希望对这方面有研究的人有帮助-Based on the spectral subtraction of speech signal enhancement source
short-termstudyofthespeechenhancement
- 基于短时谱估计的语音增强研究,包括谱减法,维纳滤波和MMSE的介绍,很详细。-Based on the short-time spectral estimation of speech enhancement research, including spectral subtraction, Wiener filter and the MMSE introduction in great detail.
SPECSUBT
- 能够进行语音增强处理,运用谱减的方法,能够取得较好的效果 -Speech enhancement can be dealt with by the use of spectral methods to achieve good results
pujianfa
- 基本谱减法——源程序,对于学习语音增强的朋友来说,非常有用-The basic spectral subtraction- the source for the study of speech enhancement is a friend, a very useful
studyandimplementonspeechenhance
- 语音增强方面的论文,来自优秀硕士博士论文库-Speech Enhancement papers, master' s doctoral dissertation from the excellent library
kalmanspeechenhancement
- 下载的一个卡尔曼语音增强程序,做了修改后给大家参考参考-Download a Kalman speech enhancement program, made modifications to your information
pujianfacankaoziliao
- 该上传是关于谱减法增强语音的参考资料(均为PDF格式),包括实现原理(英文版),以及收藏的关于实现谱减法极其增强方法方面的参考论文。可供朋友们更好的理解原理及实现。-The upload is on the spectral subtraction to enhance voice reference (both PDF format), including the realization of principles (English), and the collection on the re
wavelet
- 采样小波包分解语音信号,分解为3层,并求出分解系数-Speech signal using wavelet packet decomposition,decomposing 6 level,and attain decomposition coefficient
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,并设计相应的优化算法,寻求最优的分离矩阵,使得输出信号中各分量尽可能相互独
ASR_based_on_HMM
- 毕设的心血之作,,,完整的基于HMM的语音识别系统 并在前面有增强模块-morphology filtering
sinemodel
- 语音建模直接影响语音识别,语音增强等后续工作,这里语音信号利用正弦模型进行建模,仿真结果良好-Voice Modeling a direct impact on speech recognition, speech enhancement and other follow-up work, where the use of sinusoidal model for speech signal modeling, simulation with good results
xiaoboquzao
- 语音增强算法,语音的小波变换算法源程序,欢迎使用啊,很不错-Speech enhancement algorithm, the wavelet transform algorithm for speech source, please use the ah, very good
SpeechenhancementbasedonBPneuralnetworkprocess
- 讲解语音增强,BP神经网络 基于BP神经网络语音增强的过程-Explain the speech enhancement, BP neural network Speech enhancement based on BP neural network process
gaijin_pujianfa
- 改进的谱减法,语音增强,音频降噪-MATLAB-audio denoising---matlab
WienerFilter_matlab
- 基于维纳滤波的语音增强matlab程序,内含VAD,滤波效果良好,推荐!-weiner filter including vad,based on matlab