Description: 关于说话人识别方面的五个子程序，包括倒谱基音周期混合特征系数的话者识别，能频积端点检测、语音基音周期检测等C++源代码，本人整理编译过，比较紧凑高效；-Speaker Recognition of the five subroutines, including cepstrum Pitch mixed coefficient of the recognition, the frequency can plot endpoint detection, Pitch detection C source code, I compiled finishing more compact and efficient; Platform: |
Size: 3332258 |
Author:kingvi |
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Description: 关于说话人识别方面的五个子程序，包括倒谱基音周期混合特征系数的话者识别，能频积端点检测、语音基音周期检测等C++源代码，本人整理编译过，比较紧凑高效；-Speaker Recognition of the five subroutines, including cepstrum Pitch mixed coefficient of the recognition, the frequency can plot endpoint detection, Pitch detection C source code, I compiled finishing more compact and efficient; Platform: |
Size: 3332096 |
Author:kingvi |
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Description: 包括倒谱基音周期混合特征系数的话者识别，能频积端点检测、语音基音周期检测等C++源代码，本人整理编译过，比较紧凑高效-Including Pitch cepstrum coefficient of the mixed features of speaker recognition, to plot frequency endpoint detection, voice, etc. Pitch Detection C++ source code, I compiled collate, compare compact and efficient Platform: |
Size: 555008 |
Author: |
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Description: 基于同态处理的语音信号基音检测，利用同态处理中的倒谱或者复倒谱方法，检测语音周期-Based on homomorphic processing of the speech signal pitch detection, homomorphic processing or complex cepstrum cepstrum method to detect voice cycle Platform: |
Size: 244736 |
Author:刘芳 |
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Description: 语音处理是信号与信息处理的重要内容之一，通过本课程设计，使学生理解数字信号处
理的有关理论和方法在语音处理中的具体应用。课程设计的目的归纳如下：
1、掌握语音信号的特点；
2、掌握语音处理的基本理论和方法；
3、掌握基于Matlab编程实现语音的获取、显示、频谱分析、短时能量、短时自相关以及倒
谱复倒谱的分析方法；
4、掌握语音基音频率及共振峰频率的检测方法。-Signal and speech processing is an important part of information processing, through the curriculum design, so that students understand the digital signal
The theory and methods of management in voice processing in the specific application. Curriculum is designed to be summarized as follows:
A master speech signal characteristics
2, master the basic theory and speech processing methods
3, master Matlab programming based voice access, display, spectrum analysis, short-time energy, short-term autocorrelation and inverted
Spectral analysis of the complex cepstrum method
4, master voice pitch frequency and formant frequency detection method.
Platform: |
Size: 1226752 |
Author:立枣酒 |
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Description: 探测器基音周期的主要特点是使用二次cepstral峰值检波器的每一帧演讲,为了检测并纠正基音周期检测错误由于效果翻倍基音周期或减半等及相关现象。文件的4.5 Cepstral距探测器。pdf”提供了一个用户的指导对于这个练习。-This MATLAB exercise implements a pitch period detector based on detecting and tracking peaks in the (real) cepstrum during regions of voiced speech. The major feature of this pitch period detector is the use of a secondary cepstral peak detector for each frame of speech, in order to detect and correct pitch period detection errors due to effects such as pitch period doubling or halving and related phenomena. The file 4.5 Cepstral Pitch Detector.pdf provides a User s Guide for this exercise. Platform: |
Size: 5646336 |
Author:wujin |
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Description: 通过matlab语音，对录制的语音通过计算倒谱实现基音检测。-Through the matlab voice, the recording of the voice through the calculation of cepstrum to achieve pitch detection. Platform: |
Size: 54272 |
Author:马江河 |
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Search - cepstrum pitch detection