衡量自动语音识别解决方案的准确性

IF 2.5 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Accessible Computing Pub Date : 2023-12-08 DOI:10.1145/3636513
Korbinian Kuhn, Verena Kersken, Benedikt Reuter, Niklas Egger, Gottfried Zimmermann
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引用次数: 0

摘要

对于聋人和重听人来说,字幕是必不可少的辅助工具。人工智能(AI)的重大发展意味着自动语音识别(ASR)现在是许多流行应用的一部分。这使得创建字幕变得容易和广泛,但转录需要高水平的准确性才能访问。科学出版物和行业报告的错误率非常低,声称人工智能已经达到了人类的水平,甚至超过了人工转录。与此同时,DHH社区报告了ASR的准确性和可靠性存在严重问题。对于依赖转录的人来说,技术创新和现实生活经验之间似乎存在不匹配。需要独立和全面的数据来捕捉ASR的状态。我们用高等教育讲座的录音测量了11种常见的ASR服务的表现。我们评估了技术条件的影响,如流媒体、词汇的使用和语言之间的差异。我们的结果表明,准确度在供应商和单个音频样本之间的范围很大。我们还测量了用于现场活动的流媒体ASR的质量明显较低。我们的研究表明,尽管ASR最近有所改进,但普通服务在准确性方面缺乏可靠性。
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Measuring the Accuracy of Automatic Speech Recognition Solutions
For d/Deaf and hard of hearing (DHH) people, captioning is an essential accessibility tool. Significant developments in artificial intelligence (AI) mean that Automatic Speech Recognition (ASR) is now a part of many popular applications. This makes creating captions easy and broadly available - but transcription needs high levels of accuracy to be accessible. Scientific publications and industry report very low error rates, claiming AI has reached human parity or even outperforms manual transcription. At the same time the DHH community reports serious issues with the accuracy and reliability of ASR. There seems to be a mismatch between technical innovations and the real-life experience for people who depend on transcription. Independent and comprehensive data is needed to capture the state of ASR. We measured the performance of eleven common ASR services with recordings of Higher Education lectures. We evaluated the influence of technical conditions like streaming, the use of vocabularies, and differences between languages. Our results show that accuracy ranges widely between vendors and for the individual audio samples. We also measured a significant lower quality for streaming ASR, which is used for live events. Our study shows that despite the recent improvements of ASR, common services lack reliability in accuracy.
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来源期刊
ACM Transactions on Accessible Computing
ACM Transactions on Accessible Computing COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.20
自引率
8.30%
发文量
43
期刊介绍: Computer and information technologies have re-designed the way modern society operates. Their widespread use poses both opportunities and challenges for people who experience various disabilities including age-related disabilities. That is, while there are new avenues to assist individuals with disabilities and provide tools and resources to alleviate the traditional barriers encountered by these individuals, in many cases the technology itself presents barriers to use. ACM Transactions on Accessible Computing (TACCESS) is a quarterly peer-reviewed journal that publishes refereed articles addressing issues of computing that seek to address barriers to access, either creating new solutions or providing for the more inclusive design of technology to provide access for individuals with diverse abilities. The journal provides a technical forum for disseminating innovative research that covers either applications of computing and information technologies to provide assistive systems or inclusive technologies for individuals with disabilities. Some examples are web accessibility for those with visual impairments and blindness as well as web search explorations for those with limited cognitive abilities, technologies to address stroke rehabilitation or dementia care, language support systems deaf signers or those with limited language abilities, and input systems for individuals with limited ability to control traditional mouse and keyboard systems. The journal is of particular interest to SIGACCESS members and delegates to its affiliated conference (i.e., ASSETS) as well as other international accessibility conferences. It serves as a forum for discussions and information exchange between researchers, clinicians, and educators; including rehabilitation personnel who administer assistive technologies; and policy makers concerned with equitable access to information technologies.
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