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final
- 小波变换处理带噪语音信号，对于低信噪比的情况下相当有效，直接改文件名就可完成-Wavelet Transform of Noisy Speech signal processing for low SNR case quite effectively, direct to the file name can be completed
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
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
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
yuzhi
- 小波软阈值simulink模型,对带噪语音信号进行小波分解，得到高低频系数，然后对高低频系数进行阈值处理，然后就行重构得到去噪语音信号-the simulink model of yuzhi
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!
DigitalFilter
- 滤波器设计的目的是对信号进行数据序列的频率变换，去掉其中我们不需要的频率成分，用数字滤波器课实现语音信号去噪-Filter is designed to sequence the signal frequency of the data transformation, which we do not need to remove frequency components, with digital filter class voice signal denoising
xiaoboyuyinquzao
- 基于MATLAB的程序，用小波变换对语音信号进行去噪-MATLAB-based program, with wavelet transform to speech signal denoising
matlab
- 基于小波变换的语音信号去噪的matlab实现及阈值选择-denoising of audio signal base on matlab ,wavelets.threshold select
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)
report4
- matlab基于小波变换的语音增强处理，语音增强的主要目标，就是从带噪语音信号中提取尽可能纯挣的原始语音-matlab speech enhancement based on wavelet transform processing, the main objective of speech enhancement, is from the noisy speech signal to extract the original voice as pure earn
pujian
- 基于matlab编程实现带噪语音信号去噪-failed to translate
xiaoboquzao
- 采用小波去噪的方法对语音信号进行分解和重构，进而提取有效成分，实现信号的去噪-Wavelet denoising method of voice signal decomposition and reconstruction, and then extract the active ingredients, for signal denoising
segmantal SNR
- 计算语音信号的信噪比和分段信噪比，在matlab中使用(Computing signal-to-noise ratio and segmentation SNR of speech signals are used in MATLAB)
YCL
- 对信号进行梅尔倒谱系数特征采集之前的预处理，包括分帧加窗、基于短时能量的双门限判别、除噪、预加重等(The preprocessing of Mel cepstrum coefficients before the signal is carried out, including frame windowing, double threshold discrimination based on short-time energy, denoising and pre emphasis)
SNR
- 基于小波变换的信号语音去噪及信噪比显示代码(noise-signal ratio it is very useful)
谱减法
- 利用谱减法进行语音信号的降噪处理，适用于语音增强领域(Using spectral subtraction to reduce the noise of speech signal, it is suitable for the field of speech enhancement)
5.1 自适应滤波器法
- 利用自适应滤波的方法进行语音信号的降噪处理，适用于语音增强领域(The adaptive filtering method is used to denoise the speech signal, which is suitable for the field of speech enhancement.)
5.3 维纳滤波法
- 利用维纳滤波的方法进行语音信号的降噪处理，适用于语音增强领域(The denoising processing of speech signal by Wiener filtering is suitable for the domain of speech enhancement)
5.4 小波分解法
- 利用小波分解的方法进行语音信号的降噪处理，适用于语音增强领域(The wavelet decomposition method is used to denoise the speech signal, which is suitable for the field of speech enhancement.)