In this article I present FAAL, a new Feature-based Aligning ALgorithm that can be used for the alignment of phonetically transcribed lexical items according to the comparison of phonetic features. The algorithm can be run on any pair of phonetically transcribed words without requiring any specific setting or tuning, although various parameters of its implementation as .jar library can indeed be modified by the user, if needed. The structure and work-flow of the algorithm are described in the first part of the paper. In the second part FAAL is tested against previously proposed algorithms in a test case involving two different datasets. FAAL in its default configuration outperforms all of them. FAAL is distributed in the form of a .jar Java library. The description of this Java library and the details about the settings and configuration of its methods are provided on-line, in my github repository at https://github.com/MKilani/FAAL.

在本文中，我介绍了FAAL，这是一种新的基于特征的对齐算法，可用于根据语音特征的比较来对齐语音转录的词法项目。该算法可以在任何一对语音转录的单词上运行，而无需任何特定的设置或调整，尽管如果需要，用户确实可以修改以.jar库形式实现的各种参数。该算法的结构和工作流程在本文的第一部分中进行了描述。在第二部分中，在涉及两个不同数据集的测试案例中，针对先前提出的算法对FAAL进行了测试。FAAL的默认配置优于所有其他产品。失败以.jar Java库的形式分发。这个Java库的描述及其方法的设置和配置的详细信息在我的github存储库中在线提供。https://github.com/MKilani/FAAL。