In this paper, considering a progressing trend of recent techniques for pitch detection of speech in noisy environments, windowing effects are discussed analytically, and it is insisted that the Rectangular window should be proactively used instead of the popular Hanning or Hamming window. In a variety of noise environments, a performance comparison of the conventional pitch detection methods is conducted, and as a result, we take a standpoint to support the autocorrelation (ACF) method. Incorporating accumulation techniques, three types of pitch detection approaches are developed. Through experiments, it is shown that the three accumulation based approaches have the potential to provide better performance than recent state‐of‐the art methods for pitch detection without relying on a complicated post processing technique. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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利用开窗效应和累积的自相关函数以及功率谱在嘈杂环境中进行音高检测

在本文中，考虑到在嘈杂环境中语音音高检测的最新技术的发展趋势，分析地讨论了窗口效应，并坚持应主动使用矩形窗口而不是流行的汉宁或汉明窗口。在各种噪声环境中，进行了常规音高检测方法的性能比较，结果，我们站在支持自相关（ACF）方法的立场。结合累积技术，开发了三种类型的音高检测方法。通过实验表明，这三种基于累积的方法都可以提供比最新的音调检测技术更高的性能，而无需依赖复杂的后处理技术。©2020日本电气工程师学会。由Wiley Periodicals LLC发布。