搜索资源列表
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.
pujianfa
- 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 method of noise reduction voice in the voice signal with higher signal to noise ratio case has a good noise reduction function.
vad
- 语音信号的端点检测matlab程序，利用短时平均能量和短时平均过零率判断语音端点的起始。还有语音信号信噪比的计算程序。-Endpoint detection of speech signal matlab procedures, take advantage of short-time energy and short-time average zero-crossing rate of the average voice activi
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
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
segsnr
- 利用matlab进行语音信号的信噪比求解-clc clear x=wavread( x1 ) y=wavread( y1 )
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 Nois
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 si
2009101511335102
- 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.
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)
zishiyingjiangzao
- 这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。-Here a novel adaptive n
Improved-algorithms-based-LMS
- 一种基于LMS改进算法的语音增强方法，使用LMS迭代算法解决语音信号中噪声过大的因素，提高信号的信噪比-Improved algorithms for speech enhancement method based LMS LMS iterative algorithm to solve too much noise in the speech signal factor
celiangSNR
- 程序主要是通过读入纯净的语音信号和对纯净语音信号加噪后的混合信号来实现测量加噪后语音信号的信噪比。测量准确度较高。-Read into the program mainly through pure voice signal and noise on the clean speech signal plus the mixed signal to achieve measurements with noise after the spe
tianjiazaoshegn
- 程序是对输入的语音信号添加已知信噪比的噪声，输入是纯净的语音信号和信噪比，输出是加噪后的语音信号。后半部分是验证前面所加信噪比是否正确的程序-Procedure is to add the input speech signal noise ratio of the noise is known, the input speech signal and pure noise ratio, after output speech sign
7102
- 基于匹配滤波器的语音识别。本程序接触匹配滤波对加噪语音进行匹配输出，使得信号的信噪比得到提升，送入后端DTW的语音识别系统，实验证明，本程序对语音提升有很大的帮助-A speech recoginiton base on the matched filter. this code will use matched filter and get speech SNR output enhanced. then we will extrac
liusang
- 语音信号的采集与处理，数字信号处理课设，感应双馈发电机系统的仿真，ML法能够很好的估计信号的信噪比。- Acquisition and Processing of the speech signal, digital signal processing class-based, Simulation of doubly fed induction generator system, ML estimation method can be
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)
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)
语音信号加噪和降噪处理
- 语音是人类交换信息的有效渠道之一，也是我们日常生活交流的主要形式。 语音与当今科学技术的快速发展息息相关，特别是计算机中的语音交互技术，通 过对语音信号进行采集和处理，实现人与人之间有效信息的传输、获取以及存储。 基于 MATALAB 的语音信号去噪设计，对噪声信号进行有效地滤除，将降噪后的语音信号与原始 信号在时域和频域进行对比分析，计算出信噪比，并在 MATLAB 中设计 GUI 仿 真界面进行展示.(Speech is one o