在语音的帮助下,在交互式Web应用程序中弥合残疾人与新技术之间的差距

Dilip Kumar, A. Sachan
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引用次数: 6

摘要

语音识别领域的主要发展领域是更自然地与网络技术进行交互。计算机可以通过眼睛、声音、触摸和我们不同的动作来理解我们的各种手势,并进行交互的概念被称为简单用户界面。今天,许多元素都可以在移动电话,个人电脑和其他设备上使用,但缺乏网络上的语音对语音应用,这对残疾人来说效率不高。语音技术在这一不断发展的技术中发挥着至关重要的作用。在诸如听写和中等词汇量的事务处理等定义明确的应用中,web应用中的自动语音识别在相对可控的环境下已经在web服务器上取得了重大进展。但是,即使在干净的声学环境中,自动语音识别仍然需要达到语音成为完全普及的用户界面所需的水平。而视觉语音识别是一种很有前途的额外语音信息来源,它已经成功地增强了自动语音识别器的噪声鲁棒性,从而有望通过在web中使用语音交互来提高其在web应用中的可用性。在本文中,主要目标是提供更容易的用户(残疾人)和web应用程序之间的交互。今天,我们通过输入文本来使用网络文本,在早期,谷歌chrome增强了他们的功能,增加了语音搜索。但是我们正在尝试通过语音的帮助来访问所有的网络文本。我们正在使用来自java技术的语音识别的JSAPI组件,即语音和文本组件以及在web使用领域取得的最新进展。此外,该研究超越了最近的进展,讨论了语音识别技术的未来范围,并提到了一些可能的未来发展,并根据其性能对每种技术进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bridging the Gap between Disabled People and New Technology in Interactive Web Application with the Help of Voice
Major area of developments in the field of voice recognition is more natural way of interacting with web technology have been taking place. The concept that computers can comprehend our various gestures by eyes, voices, touch and our different movements to interact is called the Easy User Interface. Today, many elements are available in mobile phones, PCs and in other devices but the lack of voice to voice application on web are not efficient to the disabled people. Speech technologies particularly play a vital role in this evolving technology. Significant advancement in automatic voice recognition for well defined applications like dictation and medium vocabulary transaction processing assignments in web application is comparatively controlled environments have been made on web server. But, automatic speech recognition still has to reach a level needed for speech to become a completely pervasive user interface because even in clean acoustic surroundings in web application. Visual voice recognition, however, is a promising source of extra voice information and it has successfully exhibited to enhance noise robustness of automatic voice recognizers, so thereby promising to enhance their usability in the web application by use of voice interaction in web. In this paper, the main objective is to provide more easy interaction between user (disabled people) and web application. Today we are using web text by typing the text and in early days Google chrome enhances their functionality adding voice search. But we are trying to accessing all web text with the help of voice. We are using JSAPI components of speech recognition from the java technology, i.e., the voice and the text components along with the latest advancements made in the field of web uses. Further, the research goes beyond the recent advancements and discusses the future scope of speech recognition technology and mentions some likely future developments, evaluating each on the basis of its performance.
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