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traditionalsp
- 语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱，即可达到语音增强的目的。由于噪声也是随机过程，因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性，这类语音增强算法主要针对短时谱的幅度估计。 -voice signals in the frequency domain processing, voice is a time-varying, nonstationa
uvsegment
- 用信息熵进行语音信号声韵分割，尤其适合低信噪比的语音。-with information entropy voice signal eloquence and segmentation, especially for low SNR voice.
mpsound
- 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
vad
- 几篇带噪声语音信号端点检测算法的论文，希望对大家有用-Speech signal with noise several endpoint detection algorithm for papers, in the hope that useful
lq
- 语音信号的数字滤波处理 加入高斯噪声再滤除,信噪比小于20分贝-Voice signal digital filter handle add further filtered Gaussian noise, signal to noise ratio is less than 20 dB
speech
- 本文首先总结了现有典型的语音端点检测算法，分析了其中几种 端点检测算法所选用的特征，给出了仿真结果和一些改进。随后提出 了噪声环境下两种语音端点检测新算法。算法一:从基于人耳的听觉 系统出发，对Mel标度滤波器组进行研究，提出了语音信号的一种新 的自适应时频参数，该参数既考虑了声道响应，又符合人耳听觉特性， 仿真结果表明了它的优越性。算法二:结合抗噪性能好的Mel倒谱距 离和多带能量嫡特征提出了一种改进的孤立词端点检测算法，该算法 不需要估计背景噪声来调整门限闽值，仿
rever
- 1.进行含噪语音信号的时频分析 2.设计合适滤波器进行去噪 3.进行去噪后信号的时频分析4.设计一个混响器（用四个梳状滤波器和两个全通滤波器（下图所示））来产生回声（通过一个均衡器-Reverberation
audio_equalizer
- 1.进行含噪语音信号的时频分析 2.设计一个均衡器-audio_equalizer
test
- 自己编写的语音信号的采集，fft变换（两种），以及信噪比的计算！希望对大家有所帮助！-I have written the speech signal acquisition, fft transform (two kinds), and the calculation of signal to noise ratio! We want to help!
signal_noise_SNR
- 介绍对语音信号叠加白噪声或指定的噪声，满足一定的信噪比，又提供了检验带噪语音信噪比的函数。-Introduction of the voice signal superimposed noise, white noise or designated to meet a certain signal to noise ratio, but also provides a test signal to noise ratio of Noisy Speech function.
wden1
- 优化小波阈值，对硬阈值和软阈值的改进，通常用于语音信号增强，去噪-Optimization of wavelet threshold, the hard threshold and soft threshold improvement, commonly used in speech signal enhancement and denoise
speachsingalsfujianfa
- 用MATLAB来实现谱减法降噪。有源程序和降噪先后的语音信号，有实验的结果图-Use MATLAB to achieve spectral subtraction noise reduction. There has voice source and noise signals, there are experimental results of Figure
endpoint_detection_with_noise
- 提出了一种基于时频方差和的语音端点检测算法。实验证明该算法能够在低信噪比的情况下,准确地检测出语音信号-Proposed based on time-frequency variance and Speech Endpoint Detection Algorithm. Experiments show that the algorithm at low SNR cases, accurately detect the speech signal
snr
- 计算语音、音频信号的信噪比程序（包含音频样本文件）-Calculation of voice, audio program signal to noise ratio (including the audio sample file)
pujian
- 基于matlab编程实现带噪语音信号去噪-failed to translate
99889478yuyinwavelet
- 对采集的语音信号进行去噪处理，利用小波分析的方法解决这一个问题。(Noise reduction of the collected speech signal)
语音降噪
- 几种经典的语音降噪源代码，来自书籍《MATLAB在语音信号分析与合成中的应用》(Several classic speech denoising source code, from the book "MATLAB in speech signal analysis and synthesis application")
matlab
- 这是一个具有语音的采集、读取、内插恢复、重采样，语音的时域参数的计算、端点的检测、基音周期的提取，语音的加噪、滤波及每次处理后语音的播放等功能的语音信号处理系统。(speech signal processing)
speech_denoising
- 高斯噪声背景下的语音去噪，附加matlabUI界面(Speech denoising under Gauss noise background)
语音信号降噪之小波分解法
- 语音信号处理--降噪方法之小波分解法 MATLAB例程(Speech Signal Processing--A MATLAB Routine of Wavelet Decomposition Method for Noise Reduction)