AMT 1.x: A toolbox for reproducible research in auditory modeling
AMT 1.x: A toolbox for reproducible research in auditory modeling
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DOI：
10.1051/aacus/2022011
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发表时间：
2022-05-09
期刊：
影响因子：
1.4
通讯作者：
Baumgartner, Robert
中科院分区：
文献类型：
--
作者：
Majdak, Piotr;Hollomey, Clara;Baumgartner, Robert
听觉建模工具箱 (AMT) 是一个 MATLAB/Octave 工具箱，用于开发和应用计算听觉模型，特别关注双耳听力。 AMT 旨在一致地实现听觉模型、结构良好的代码内文档以及包含运行模型所需的听觉数据。其动机是提供一个能够重现模型预测的工具箱，并允许学生和研究人员使用和改进现有模型。在 AMT 中，模型实现可以分两个阶段进行评估：运行所谓的演示，即模型的快速演示，以及启动所谓的实验，旨在重现相应出版物的结果。在这里，我们描述了所有 AMT 1.x 版本框架内可用的工具和机制。最近发布的 AMT 1.1 包括 60 多个模型，并且可以作为开源包从 https：www.amtoolbox.org 免费获取。
The Auditory Modeling Toolbox (AMT) is a MATLAB/Octave toolbox for the development and application of computational auditory models with a particular focus on binaural hearing. The AMT aims for a consistent implementation of auditory models, well-structured in-code documentation, and inclusion of auditory data required to run the models. The motivation is to provide a toolbox able to reproduce the model predictions and allowing students and researchers to work with and to advance existing models. In the AMT, model implementations can be evaluated in two stages: by running so-called demonstrations, which are quick presentations of a model, and by starting so-called experiments aimed at reproducing results from the corresponding publications. Here, we describe the tools and mechanisms available within the framework of all AMT 1.x versions. The recently released AMT 1.1 includes over 60 models and is freely available as an open-source package from https: www.amtoolbox.org.