Have We Solved Glottis Segmentation? Review and Commentary.

IF 2.5 4区 医学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Andreas M Kist, Michael Döllinger
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引用次数: 0

Abstract

Quantification of voice physiology has been a key research goal. Segmenting the glottal area to describe the vocal fold motion has seen increased attention in the last two decades. However, researchers struggled to fully automatize the segmentation task. With the advent of deep learning, fully automated solutions are within reach and have been proposed. Are we then done here? This commentary highlights the open construction sites and how glottis segmentation can be still of scientific interest in this decade.

我们解决了声门分割问题了吗?回顾和评论。
语音生理学的量化一直是一个重要的研究目标。在过去的二十年里,分割声门区域来描述声带运动已经得到了越来越多的关注。然而,研究人员努力使分割任务完全自动化。随着深度学习的出现,完全自动化的解决方案已经触手可及,并且已经被提出。我们谈完了吗?这篇评论强调了开放的建筑工地,以及声门分割在这十年中如何仍然具有科学意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Voice
Journal of Voice 医学-耳鼻喉科学
CiteScore
4.00
自引率
13.60%
发文量
395
审稿时长
59 days
期刊介绍: The Journal of Voice is widely regarded as the world''s premiere journal for voice medicine and research. This peer-reviewed publication is listed in Index Medicus and is indexed by the Institute for Scientific Information. The journal contains articles written by experts throughout the world on all topics in voice sciences, voice medicine and surgery, and speech-language pathologists'' management of voice-related problems. The journal includes clinical articles, clinical research, and laboratory research. Members of the Foundation receive the journal as a benefit of membership.
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