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谱减法 数字信号处理 语音信号加强剥离噪声的MATLAB代码,分帧-加窗-减谱-重现-测试-noise reduction spectral subtraction speech enhancement
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双门限法检测离散语音端点,方法简单,易实现,常用语低噪环境-Double threshold discrete speech endpoint detection method is simple and easy to implement, low-noise environment commonly used terms
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DSB-SC信号的生成与解调
1) 用离散(DSP)的方法生成DSB信号
2) 载波频率为150KHz,音频为500Hz和2000Hz的混合音。
3) 加入高斯白噪声
(4) 语音信号
的传输。
改变抽样频率和量化台阶大小,观察重建信号以及量化噪声信号的波形;对于语音信号主观评价声音质量的变化。
-DSB-SC signal generation and demodulation 1) Discrete (DSP) methods to generate
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录制一段个人自己的语音信号。对录制的信号进行采样;画出采样后语音信号的时域波形和频谱图;对语音信号进行加噪和去噪处理,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化;回放语音信号;实现快录慢放、慢录快放等功能。-Record a person' s own voice signal. Of the recorded signal sampling draw sample after the speech signal time-domain waveform
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最小均方误差估计(MMSE)语音增强算法,算法简单有效,无残余音乐噪声-Minimum mean square error estimation (MMSE) speech enhancement algorithm is simple and effective, non-residual musical noise
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该程序是基于子空间的语音去噪声,该方法使用广泛,能取得很好的语音增强效果!-The program is based on the sub-space of the voice to noise, the method widely used and can achieve very good speech enhancement effect!
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一个基于小波阈值的信号处理程序,通过自适应阈值方式抑制信号噪声-A threshold based on wavelet signal processing procedures, through the adaptive threshold signal noise suppression methods
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波形和频谱双显示
记录讲话直接进入MATLAB
手动分割讲话波形-创建标签文件
波形编辑-切割,复制或粘贴
共振峰分析-显示共振轨道的F1 , F2和F3
基音分析
过滤工具-语音信号滤波器截止频率
比较工具-比较两个波形的频谱距离使用几种措施
增加噪声-Dual time-waveform and spectrogram displays
Records speech directly into MATLAB NEW
Displays time-a
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自己编的谱减语音增强谱减算法程序,带噪语音按帧处理的,利用寂静帧的语音段来估计噪声。-Own spectrum minus minus algorithm for spectral speech enhancement procedure of Noisy Speech by the frame of the treatment, the use of silence the voice frame to estimate the noise above.
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现在最热门的语音增强方法--小波变换法,具有很好的降噪效果!-Now the most popular speech enhancement method- wavelet transform, the noise has a very good effect!
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Segmental Signal-to-Noise Ratio Objective Speech Quality Measure
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谱减法是一种比较简单的语音降噪的方法,在语音信号具有较高的信噪比的情况下具有良好的降噪功能。
-Spectral subtraction is a relatively simple pronunciation methods of noise in speech signal with high signal-to-noise ratio (SNR) of cases with good noise function.
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本文简要介绍了语音信号采集与分析的发展史以及语音信号的特征、采集与分析方法,并通过PC机录制自己的一段声音,运用Matlab进行仿真分析,最后加入噪声进行滤波处理,比较滤波前后的变化。-This paper introduces the voice signal acquisition and analysis of the history and characteristics of speech signals, sampling and analysis methods, and thro
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基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”,由理查德亨德里克斯,理查德Heusdens和Jesper詹森,IEEE国际会议声学,语音和信号处理,03/2010,达拉斯,德克萨斯州,p.4266 - 4269,(2010年)。
该算法具有较低的复杂性,但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。-Matlab implementation of an MMSE based nois
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包含M文件,培训和跟踪落实的噪音中描述的算法:
[1] J.S.厄克伦斯和R. Heusdens,“非平稳噪声跟踪基于数据驱动的递归噪声功率的估计”,IEEE期刊。音频,语音卷。 16,第6页。1112年至1123年,2008年8月。
见Descr iption.doc在zip文件。-Contains m-files to train and implement the noise tracking algorithm described in:
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小波变换的MATLAB源程序,使用语语音增强,去除噪声效果好,算法实现简单,清晰-MATLAB source wavelet transform, using language speech enhancement, noise removal effect, algorithm is simple and clear
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根据” J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation”所开发的源码-noisetracker based on data-driven recursive noise power estimation
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TeagerKaiser Energy operator method has been explained with help of Matlab 2007a version. This method can be used in case of speech and voice processing as well as any kind of signal processing activities.
This has been explained with multiple inpu
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语音端点检测,有助于除去语音信号中的噪音部分,留下有用的携带信息的部分,有利于提取其中有用的语音特征参数,从而提高识别率。-Endpoint detection, helps remove the noise part of the speech signal, leaving useful information-bearing part, is conducive to extract the speech feature useful to improve the recognition
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• Plot the noisy speech signal both in time-domain and frequency-domain.
• 进行含噪语音信号的时频分析
• Design a proper filter to remove noise from the speech signal.
• 设计合适滤波器进行去噪
• Plot the clean signal both in time-domain
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