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利用AMDF法求语音信号的基音周期(结果为时频图),Pitch detection by AMDF algorithm
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这个函数提供了一种基音频率检测算法,具体的算法内容详见MATLAB文件的说明,有详细的注释,工程中已经应用过,有较好的应用价值-This function provides a pitch detection algorithm, the specific content of the algorithm see MATLAB documentation, detailed annotations, engineering has been applied, has good applicati
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基于倒谱法的基音检测算法,最终图形描述为频谱和倒谱。-Cepstrum-based pitch detection algorithm, the final graphical representation of spectrum and cepstrum.
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with this mscr ipts we are enable to perform accurately pitch detection.first with short term zerocrossing and
short term energy estimation analyses we find voiced regions and then with hps algorithm, find pitch values of utterance.
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对给定语料估计其基音周期。
要求用MATLAB或C语言实现有关基音检测算法,并给出检测结果。
-For a given corpus to estimate the pitch period. Required to use MATLAB or C language realization of the pitch detection algorithm, and gives test results.
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1下载:
基音检测:
对给定语料估计其基音周期。
要求用MATLAB或C语言实现有关基音检测算法,并给出检测结果与实验报告
实验语料:MaoYiSheng.raw
发音:“茅以升”;时长0.9s;采样率:8kHz;量化精度为16bits/sample;数据格式 LSB,MSB
分析帧长:20ms(160样点)
总帧数:45-Pitch Detection: For a given corpus to estimate the pitch period. Require MAT
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时域基音检测的基本原理和方法。基音检测的预处理和后处理的基本思想和方法。基于归一化互相关函数的基音检测算法。
-Basic principles and methods of time-domain pitch detection. Pitch detection, pre-and post-processing of the basic ideas and methods. Pitch detection algorithm based on normalized cross-correl
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一个可用的基音周期检测算法,可以较准确的检测出基音值,是学习基音周期提取原理的好程序。-A usable pitch detection algorithm, more accurate detection of the pitch value is a good program to learn the pitch period extraction principle.
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This a implementation of lpc vocoder withou pitch detection but with encoding and decoding algorithm-This is a implementation of lpc vocoder withou pitch detection but with encoding and decoding algorithm
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基于波峰检测算法的动态语音音高追踪的研究与实现-Peak detection algorithm based on dynamic voice pitch tracking Research and Implementation
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算法是在MATLAB环境下编译的,其实现的功能主要是采用小波包BARK域中子带方差法来实现端点检测,实验结果表明在高信噪比情况下效果显著-Algorithm is compiled in MATLAB environment, and its main function is implemented using wavelet packet BARK sub-band variance jurisdictions to implement endpoint detection, experime
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