AMDF:平均幅度差函数
“平均幅度差函数”在学术和工程领域有着广泛的应用,其英文全称为“Average Magnitude Difference Function”。为便于书写和引用,通常使用其缩写“AMDF”。这一术语常见于信号处理、语音识别等综合性技术场景,尚未被严格归类至单一学科。
Average Magnitude Difference Function具体释义
Average Magnitude Difference Function的英文发音
例句
- Autocorrelation and average magnitude difference function are essential methods in pitch detection.
- 自相关法和平均幅度差函数(AMDF)是两种常用的基音检测方法。
- Experiments show that the algorithm can increase the pitch detection precision compared with average magnitude difference function ( AMDF ) and autocorrelation function ( ACF ) algorithms.
- 实验表明,本文提出的基音周期检测方法,与平均幅度差函数(AMDF)(AMDF)和自相关函数(ACF)方法相比,提高了提取基音周期的准确率;
- According to the characters of short time average magnitude difference function ( AMDF ) and modified short time autocorrelation function ( MACF ), filtering weighted modified autocorrelation pitch detection method is designed.
- 根据短时平均幅度差函数(AMDF)(AMDF)与修正自相关函数(MACF)的特点,设计了滤波加权修正自相关函数的基音周期检测方法。
- In this paper, multi-parameters ( short-time energy, short-time zero-crossing rate and autocorrelation function values ) combination has been adopted to judge the unvoiced / voiced of speech signal. Then circular average magnitude difference function has been used to calculate pitch.
- 采用基于多参数组合方法(短时能量、短时过零率、自相关函数值)进行语音信号清浊音判别,利用循环平均幅度差函数(AMDF)进行基音周期计算。
- A new simple and reliable voice active detection algorithm which utilizes the characteristics of short-time AMDF ( Average Magnitude Difference Function(AMDF) ) and short-time AM ( Average Magnitude ) to detect the speech endpoint is presented.
- 提出了一种利用语音信号的短时平均幅度差特征并结合短时平均幅度的语音检测算法。
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