Description: 本平台包括语音的录制、播放、保存以及情感计算等功能,您可以根据自己的需要选择选择相应的菜单。
对于语音情感计算这个模块,如果您有现成的语音文件,您可以单击打开按钮,打开您要判断的语句,然后选择相应的功能。
如果您打开的是正常语音文件,请选择清浊分辨,然后再进行特征参数和情感计算;如果您打开的是鼾声,请选择鼾声分辨,并输入您想要的判别门限,然后再进行特征参数等的计算;如果您没有选择上面两个按钮,计算出来的将是原始语音的特征参数。
由于清浊音分辨是我们语音情感计算的预处理,所以如果您要进行情感计算,请先进行清浊音判断,否则情感状态的判别将不是很准确。-this platform include voice recording, broadcast, preservation and affective computing, and other functions. You can choose their own selection of the menu. Emotional Speech for the calculation module, if you have a ready-made sound files, you can click the Open button. open your statement to the judge, and then select the corresponding function. If you open the document is a normal voice, select Qingzhuo resolved, and then feature parameters and affective computing; If you open the snoring, snoring distinguish choice, and you want to import the discriminant threshold. then parameters for the calculation; If you have no choice above two buttons, calculated will be the voice of the original parameters. As Voicing our voice to tell Affective Computing pretreatment, so if you want to conduct Platform: |
Size: 82435 |
Author:beijingolympic.hi |
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Description: Based on short-term energy detection and short-term cross zero rates detection in speech
reorganization,the paper presents two-threshold endpoint detection.In addition,an accurate speech
segmentation algorithm is achieved with the wavelet transform and statistics signal frequency domain
characteristics.using cepstrum transform and cepstrum distance with the background noise,the paper achieved
the speech segmentation algorithm.Analysis and Implementation of Speech Endpoint Detection Platform: |
Size: 414198 |
Author:读宴宾 |
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Description: 本平台包括语音的录制、播放、保存以及情感计算等功能,您可以根据自己的需要选择选择相应的菜单。
对于语音情感计算这个模块,如果您有现成的语音文件,您可以单击打开按钮,打开您要判断的语句,然后选择相应的功能。
如果您打开的是正常语音文件,请选择清浊分辨,然后再进行特征参数和情感计算;如果您打开的是鼾声,请选择鼾声分辨,并输入您想要的判别门限,然后再进行特征参数等的计算;如果您没有选择上面两个按钮,计算出来的将是原始语音的特征参数。
由于清浊音分辨是我们语音情感计算的预处理,所以如果您要进行情感计算,请先进行清浊音判断,否则情感状态的判别将不是很准确。-this platform include voice recording, broadcast, preservation and affective computing, and other functions. You can choose their own selection of the menu. Emotional Speech for the calculation module, if you have a ready-made sound files, you can click the Open button. open your statement to the judge, and then select the corresponding function. If you open the document is a normal voice, select Qingzhuo resolved, and then feature parameters and affective computing; If you open the snoring, snoring distinguish choice, and you want to import the discriminant threshold. then parameters for the calculation; If you have no choice above two buttons, calculated will be the voice of the original parameters. As Voicing our voice to tell Affective Computing pretreatment, so if you want to conduct Platform: |
Size: 81920 |
Author:beijingolympic.hi |
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Description: 语音信号去噪,在MATLAB开发环境下,对含噪声的语音信号进行小波变换,根据阈值去噪的原理去噪,然后逆变换得到增强的语音信号-Speech Signal Denoising in the MATLAB development environment, including noise on the voice signal wavelet transform, in accordance with the principle of threshold denoising Denoising, and then inverse transform enhanced speech signal Platform: |
Size: 4096 |
Author:王鹏 |
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Description: 小波变换用于语音信号阈值去噪的一个matlab程序-Wavelet transform for speech signal threshold denoising a matlab program Platform: |
Size: 4096 |
Author:wanghang |
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Description: 使用matlab,使用双门限比较法,实现语音端点检测-Using matlab, the use of dual threshold comparison method, the realization of Speech Endpoint Detection Platform: |
Size: 1024 |
Author:yinxk |
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Description: Based on short-term energy detection and short-term cross zero rates detection in speech
reorganization,the paper presents two-threshold endpoint detection.In addition,an accurate speech
segmentation algorithm is achieved with the wavelet transform and statistics signal frequency domain
characteristics.using cepstrum transform and cepstrum distance with the background noise,the paper achieved
the speech segmentation algorithm.Analysis and Implementation of Speech Endpoint Detection Platform: |
Size: 413696 |
Author:读宴宾 |
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Description: 说明小波消噪的理论,阈值估算和提取,给出在MATLAB下阈值估算和消噪的函数,并在语音信号处理中增强语音。-Explain the theory of wavelet denoising, threshold estimation and extraction, are given in the MATLAB under the threshold estimation and de-noising function, and speech signal processing to enhance voice. Platform: |
Size: 69632 |
Author:宋知用 |
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Description: 一个基于小波阈值的信号处理程序,通过自适应阈值方式抑制信号噪声-A threshold based on wavelet signal processing procedures, through the adaptive threshold signal noise suppression methods Platform: |
Size: 1139712 |
Author:snow |
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Description: 计算过零率,短时能量,调整能量门限,端点检测都是语音信号当中不可缺少的部分-Calculation of zero-crossing rate, short-term energy and adjust the energy threshold, endpoint detection of speech signals which are an integral part of Platform: |
Size: 1024 |
Author:王文姝 |
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Description: 本 文 首先 介绍了语音识别的研究和发展状况,然后循着语音识别系统的
处理过程,介绍了语音识别的各个步骤,并对每个步骤可用的几种方法在实
验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取,包括
语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变
换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取,
采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别算
法,选定动态时间弯折为识别算法,并重点介绍其设计实现。
在 Vi su alC++环境下,设计并实现一个特定人、孤立词语音识别系统,
系统可以识别数字0-9等简单指令。该系统还具备演示、学习功能,可以演
示语音处理的各个步骤,还可以根据需要添加新的指令。
最 后 , 重点从端点检测算法和动态时间弯折识别算法对系统进行改进。
实验表明,改进后的系统识别率有很大提高,达到95 ,为进一步开发实用
性语音识别系统产品打下了基础。-This article introduced the first speech recognition research and development, and then follow the voice recognition system
Processing, speech recognition, introduced the various steps, each step of the methods available in the real
A post-mortem conducted on the basis of the analysis and comparison. Research on the speech signal pre-processing and feature extraction, including
Digitized voice signals, sub-frame window, pre-emphasis filtering, endpoint detection feature vector in time domain and variable
Eigenvector for the domain. One endpoint detection method using dual-threshold. Through experiments over the selection of characteristic parameters,
The use of 12-order linear prediction cepstral coefficients as recognition parameters. Detailed analysis of the specific operator who isolated word recognition
Law, selected Dynamic Time Warping Algorithm for identifying and focusing on the achievement of its design.
In Vi su alC++ environment, design and realization of a s Platform: |
Size: 2491392 |
Author:周文超 |
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Description: 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 Platform: |
Size: 1024 |
Author:媛媛 |
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Description: 这是一个比较完整的基于语音双门限的端点检测程序-This is a more complete two-threshold-based speech endpoint detection program Platform: |
Size: 4096 |
Author:陶子 |
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