Hess W J
Phonetica. 1982;39(4-5):219-40. doi: 10.1159/000261664.
In this paper the various pitch determination methods and algorithms (PDAs) are grouped into two major classes: time-domain PDAs and short-term analysis PDAs. The short-term analysis PDAs leave the signal domain by a short-term transformation. They supply a sequence of average pitch estimates from consecutive frames. The individual algorithm is characterized by the short-term transform it applies. The time-domain methods, on the other hand, track the signal period by period. Extraction and isolation of the fundamental harmonic, and investigation of the temporal signal structure are the two extremes between which most of these PDAs are found. After the review of these principles the paper finally discusses different application-oriented aspects, i.e., the role of the PDA in phonetics, education, phoniatrics, and speech communication systems.
在本文中，各种基音测定方法和算法（PDAs）被分为两大类：时域PDAs和短期分析PDAs。短期分析PDAs通过短期变换离开信号域。它们提供来自连续帧的一系列平均基音估计。各个算法的特点是其所应用的短期变换。另一方面，时域方法逐周期跟踪信号。基本谐波的提取与分离以及对时域信号结构的研究是大多数这些PDAs所处的两个极端情况。在回顾这些原理之后，本文最后讨论了不同的面向应用的方面，即PDA在语音学、教育、言语矫治学和语音通信系统中的作用。
