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Speech-enhancement-dsp-master

于 2020-10-08 发布文件大小:1887KB

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下载积分: 1 下载次数: 10

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代码说明：

几种传统的语音增强方法，适合初学者，了解语音增强的处理。(Several traditional speech enhancement methods are suitable for beginners to understand the processing of speech enhancement.)

文件列表：

Speech-enhancement-dsp-master, 0 , 2019-01-10
Speech-enhancement-dsp-master\5dB_noisy.wav, 100138 , 2019-01-10
Speech-enhancement-dsp-master\KFrame.m, 729 , 2019-01-10
Speech-enhancement-dsp-master\MSSE.m, 2308 , 2019-01-10
Speech-enhancement-dsp-master\README.md, 121 , 2019-01-10
Speech-enhancement-dsp-master\clean.wav, 100138 , 2019-01-10
Speech-enhancement-dsp-master\enhanced_5dB_noisy.wav, 393274 , 2019-01-10
Speech-enhancement-dsp-master\kaerman.png, 241035 , 2019-01-10
Speech-enhancement-dsp-master\kaerman.wav, 100164 , 2019-01-10
Speech-enhancement-dsp-master\kalman.m, 3007 , 2019-01-10
Speech-enhancement-dsp-master\myspectrogram.m, 15181 , 2019-01-10
Speech-enhancement-dsp-master\pujian.png, 270890 , 2019-01-10
Speech-enhancement-dsp-master\pujian.wav, 100138 , 2019-01-10
Speech-enhancement-dsp-master\pujianfa.m, 1350 , 2019-01-10
Speech-enhancement-dsp-master\segan.m, 830 , 2019-01-10
Speech-enhancement-dsp-master\segan.png, 279325 , 2019-01-10
Speech-enhancement-dsp-master\weina.png, 272169 , 2019-01-10
Speech-enhancement-dsp-master\weinafa.m, 1472 , 2019-01-10
Speech-enhancement-dsp-master\weinafaend.wav, 100138 , 2019-01-10
Speech-enhancement-dsp-master\weinahome.m, 993 , 2019-01-10
Speech-enhancement-dsp-master\对比.png, 233815 , 2019-01-10

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2019-04-18 21:10:12下载

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2020-10-26 15:00:00下载

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2005-02-19 14:03:24下载

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基于51单片机和8位ADC的数字电压表，可测量0-5V电压，程序用C语言编写。(Based on MCU and 8 bit AD C digital voltmeter, 0-5V voltage can be measured. The program is written in C language.)

2019-03-07 21:28:37下载

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说明： SLIC算法是simple linear iterative cluster的简称，该算法用来生成超像素（superpixel）算法步骤：已知一副图像大小M*N,可以从RGB空间转换为LAB空间，LAB颜色空间表现的颜色更全面假如预定义参数K，K为预生成的超像素数量，即预计将M*N大小的图像(像素数目即为M*N)分隔为K个超像素块，每个超像素块范围大小包含[（M*N）/K]个像素假设每个超像素区域长和宽都均匀分布的话，那么每个超像素块的长和宽均可定义为S，S=sqrt(M*N/K) 遍历操作，将每个像素块的中心点的坐标(x,y)及其lab的值保存起来，加入到事先定义好的集合中(Algorithmic steps: Given the size of an image M*N, it can be converted from RGB space to LAB space, and the color space of LAB is more comprehensive. If the predefined parameter K, K is the number of pre-generated super-pixels, i.e., the image of M*N size (the number of pixels is M*N) is expected to be divided into K super-pixel blocks, each of which contains [(M*N)/K] pixels. Assuming that the length and width of each super-pixel region are evenly distributed, the length and width of each super-pixel block can be defined as S, S = sqrt (M*N/K). The traversal operation saves the coordinates (x, y) and lab values of the central points of each pixel block and adds them to a pre-defined set.)

2019-06-10 14:48:52下载

积分：1

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