Description: 语音端点检测中采用的短时过零率的程序,用于端点检测过程识别率高-Speech Endpoint Detection in the use of short-time zero-crossing rate of the procedure for the endpoint detection process to identify a high rate of Platform: |
Size: 1024 |
Author:zengxiuhua |
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Description: 端点检测是指用数字处理技术来找出语音信号中的各种段落(如音素、音节、词素、词等)的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样,将其分帧并计算短时能量和过零率参数,然后进行端点检测。这种工作方式被称为离线处理方法 ,无法实现语音信号的实时处理,对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件,在MATLAB环境下将其嵌入到figure窗口中,以GUI程序的方式使用,实现语音信号端点检测的实时处理。-Endpoint detection is the use of digital processing techniques to identify the speech signals in a variety of paragraphs (such as phoneme, syllable, morpheme, word, etc.) the starting point and the end position. Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link. Traditional endpoint detection method is to obtain from the wav file voice sampling, its sub-frame and calculate the short-term energy and zero-crossing rate parameters, and then proceed to endpoint detection. This work is called off-line approach can not achieve real-time speech signal processing, analysis of the speech signal has a certain limitations. In this paper, through the development of ActiveX controls, in the MATLAB environment to embedded figure window to use GUI program, the realization of speech signal processing real-time endpoint detection. Platform: |
Size: 30720 |
Author:cike |
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Description: 个人编写的提取音频信号的时域特征参数短时平均过零率及短时平均能量的matlab源程序。供大家参考-Extraction of individual preparation of the audio signal in time domain characteristic parameters of short-term average of zero-crossing rate and short-time average energy of the matlab source. For your reference Platform: |
Size: 219136 |
Author:席学云 |
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Description: 完成对一段语音信号的短时分析,语音信号要包括清音、浊音和无声段,求其短时平均能量、短时平均过零率、短时自相关函数和短时功率谱;-Complete short-term analysis of a voice signal, the specific requirements: a voice signal to include the voiceless, voiced, and silent segments 2, find its short-term average energy, short-time average zero crossing rate, short-term autocorrelation function and short-term power spectrum 3, drawing, and the differences in the comparative analysis of three types of audio signals in the four short-term parameters 4, estimated using short-time autocorrelation voiced fundamental frequency using matlab to write and draw Platform: |
Size: 2048 |
Author:houjam |
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Description: 基于短时能量的基音短点检测,有基于短时能量的计算方法、短时过零率,有matlab程序,同事对应word讲解,算法原理图,和算法详细介绍。-Short pitch detection based on short-term energy, based on the calculation method of the short-time energy, short-time zero-crossing rate, matlab program, colleagues corresponding word on the schematic diagram of the algorithm, and the algorithm described in detail. Platform: |
Size: 144384 |
Author:张妞妞 |
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Description: 本实验要求掌握时域特征分析原理,并利用已学知识,编写程序求解语音信号的短时过零率、短时能量、短时自相关特征,分析实验结果,并能掌握借助时域分析方法所求得的参数分析语音信号的基音周期及共振峰。基于MATLAB的语音信号时域特征分析-In this study, the analysis required to master the principles of time-domain characteristics, and use the learned knowledge to write programs to solve short-time speech signal zero-crossing rate, short-time energy, short-term autocorrelation features, analysis of the experimental results, and can grasp the time domain by means of analytical methods pitch the determined parameter analysis of the speech signal and formant. Based on time-domain characteristics of the speech signal analysis MATLAB Platform: |
Size: 98304 |
Author:田飞 |
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Description: 采用MATLAB 2015b综合运用各种函数调用等来实现语音信号时域的短时能量,短时过零以及短时自相关函数分析和频域的傅里叶变换,功率谱估计,短时傅里叶变换,小波分析,语音信号的短时综合,语谱图各种分析,充分了解熟悉语音信号的相关分析方法。(This experiment uses the MATLAB 2015 b, the integrated use of various kinds of function call to realize speech signal in time domain of short-time energy and short-time zero crossing and short-time autocorrelation function analysis and frequency domain Fourier transform, power spectrum estimate, short-time Fourier transform, wavelet analysis, the short synthesis speech signal, the spectra of various analysis, fully understand the familiar voice signal correlation analysis method.) Platform: |
Size: 417792 |
Author:Liu0_
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