SIMO:用于无纸化制造的自动语音识别系统

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
Rafael Luque, Adrián R. Galisteo, Paloma Vega, Eduardo Ferrera
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引用次数: 0

摘要

尽管有普遍的环保意识,但如今工厂大量使用纸张仍然是一个事实。制造周期越短,越倾向于使用纸张来支持工件的质量跟踪;用它来记录测量值或不符合项。这种趋势在航空航天等制造业中急剧增加,其典型的生产比率在每月9到18个组件之间变化。目前的工作提出了一个自动语音识别系统,意在用人工书写任务的数字化版本取代纸张。该工作展示了(i)具有好处和需求的工业用例;(ii)系统架构,包括若干经过测试的免费自动语音识别模块及其分析;(iii)一些开源的支持模块来改进其功能。该工作最后提出了几个测试,展示了系统在不同类型的工业噪声,低质量麦克风和不同方言用户下的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIMO: An Automatic Speech Recognition System for Paperless Manufactures
Despite environmental general conscience, heavy use of paper is still one fact in nowadays factories. The shorter the manufacturing production, the greater the tendency to employ paper to support quality tracking of pieces; using it to register measurements or nonconformities. This tendency increases drastically in some manufactures like aerospace, where typical production ratios vary between 9 and 18 subassemblies per month. The current work presents an automatic speech recognition system, meant to replace paper by a digitalized version of the manual writing task. The work presents (i) industrial use cases with benefits and requirements; (ii) the system architecture, including several tested free Automatic Speech Recognition modules, their analysis; and (iii) some open-source supporting modules that improves its functionality. The work concludes presenting several tests, showing the system performance against different kind of industrial noises, low to high quality microphones and users with different dialects.
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来源期刊
Advances in Science and Technology-Research Journal
Advances in Science and Technology-Research Journal ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
27.30%
发文量
152
审稿时长
8 weeks
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