搜索资源列表
w_ipp-sample-speech-rec_p_5.0.009
- IntelIPP库语音处理源代码（包括回声抑制和噪声消除）-IntelIPP for voice processing source code (including echo suppression and noise reduction)
speech-enhancement_matlab
- 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
Noise_Estimation
- Speech Signal Noise Estimation
GMM1_NE
- Gaussian Mixture Models (GMM) for speech noise reduction
soundchange
- 对原始语音进行上采样和下采样，分析对比他们的时域图和频谱图。最后对比原始语音、75HZ激励、150HZ激励以及噪声激励下的效果-SOME SIMPLE MANIPULATIONS OF SOUND USING DIGITAL SIGNAL PROCESSING The original sound and its spectrogram Downsampling the waveform downsampling Upsampling the waveform Li
noise_tracker_V1
- 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
noisetracking
- 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:
Noise_Tracking
- 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
fant.tar
- This tool can be used to - filter speech data with a frequency characteristic as defined by ITU for telephone equipment and/or - add noise to speech recordings at a desired SNR (signal-to-noise ratio)
res_eva
- 语音增强结果评价框架，其中包括四种语音质量评价方法：信噪比SNR，分段信噪比segSNR，对数谱失真LSD，PESQ。还包括生成设定信噪比语音文件的m文件。也适用于其他领域的语音质量评价。-The speech enhancement results evaluation framework, including the four speech quality assessment method: the SNR signal to noise ratio, segment the SNR se
GUI
- 1）选择一个语音信号作为分析对象，或录制一段语音信号； 2）对语音信号进行采样，画出采样前后语音信号的时域波形和频谱图； 3）利用MATLAB中的随机函数产生噪声加入到语音信号中，使语音信号被污染，然后进行频谱分析； 4）设计用于处理该语音信号的数字滤波器，给出滤波器的性能指标，画出滤波器的频率响应； 5）对被噪声污染的语音信号进行滤波，画出滤波前后信号的时域波形和频谱，并对滤波前后的信号进行比较和分析； 6）回放各步骤的语音信号，给出相应处理程序及运行结果分析。-1) Select a voi
LMS_Algorithm
- 语音降噪算法，语言噪音消除研究。基于LMS的音频降噪算法及改进。-Speech noise reduction algorithm, noise cancellation language study. Audio noise reduction algorithm based on LMS and improvement.
imcra_estimation
- 采用imcra方法估计语音信号中的噪声水平，可用于语音信号的降噪算法中。-estimate the noise in speech using imcra method
SNR_cmp
- 用matalab实现一个简单的输入语音的整体信噪比和部分信噪比的比较-Matalab implemented using a simple input speech and the portion of the overall signal to noise ratio SNR comparison
multipich
- 对于混合语音信号，搜索多个讲话人的Pitch，并追踪变化轨迹-This program is used for tracking multiple pitch tracks in a noisy environment. If you only want to track multiple pitch periods without significant noise, you may tune P_C2 and P_C0 in common.h. For differnt spee
lms10
- 自适应滤波LMS算法语音降噪，采集一段wma文件，加入高斯白噪声，然后实现降噪。-LMS adaptive filtering algorithm for speech noise reduction
MMSE_speechAbsenceDenoise
- speech enhancement method based on minimum mean square error. This method is very typical in noise reduction. Many algorithms are derived from this method. You may take it as a learning example.
wavelet_denoise
- A wavelet-based noise reduction algorithm. This algorithm is quite novel in speech enhancement because wavelet method is seldom utilized in noise reduction. You may take this algorithm as a learning example for wavelet.
Speech-Enhancement
- 语音增强的目标是提高这些受损的语音质量以及可读懂度，语音增强算法能在某种程度上减轻或者抑制背景噪声-Speech enhancement aims to improve the quality of these damaged and can understand the degree of voice , speech enhancement algorithms can reduce or suppress the background noise in a way
noise
- It contains a speech signal. It will helpful to analyse different algorithm for this speech signal