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ACT:一种用于实时磁共振成像语音产生数据中分析声道动作的自动质心跟踪工具。

ACT: An Automatic Centroid Tracking tool for analyzing vocal tract actions in real-time magnetic resonance imaging speech production data.

机构信息

Department of Linguistics, University of Southern California, Los Angeles, California 90089, USA

出版信息

J Acoust Soc Am. 2018 Oct;144(4):EL290. doi: 10.1121/1.5057367.

Abstract

Real-time magnetic resonance imaging (MRI) speech production data have expanded the understanding of vocal tract actions. This letter presents an Automatic Centroid Tracking tool, ACT, which obtains both spatial and temporal information characterizing multi-directional articulatory movement. ACT auto-segments an articulatory object composed of connected pixels in a real-time MRI video, by finding its intensity centroids over time and returns kinematic profiles including direction and magnitude information of the object. This letter discusses the utility of ACT, which outperforms other similar object tracking techniques, by demonstrating its successful online tracking of vertical larynx movement. ACT can be deployed generally for dynamic image processing and analysis.

摘要

实时磁共振成像(MRI)言语产生数据扩展了对声道运动的理解。本文介绍了一种自动质心跟踪工具 ACT,它获取了表征多方向发音运动的空间和时间信息。ACT 通过随时间找到其强度质心,自动分割由实时 MRI 视频中连接像素组成的发音对象,并返回运动学轮廓,包括对象的方向和大小信息。本文通过演示 ACT 对垂直喉运动的成功在线跟踪,讨论了 ACT 的效用,ACT 优于其他类似的目标跟踪技术。ACT 可以广泛用于动态图像处理和分析。

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