Speech recognition interactive system for vehicle

Chee Yang Loh, K. L. Boey, Kai Sze Hong
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引用次数: 9

Abstract

Technology that enables a computer system to understand and recognize the words or sentences spoken by a human with the help of microphone is called Speech Recognition. In order to enable the system to recognize all the words or sentences uttered by a human, a Speech Recognition Engine is needed. Practically, there are number of factors that may influence the performance of the Speech Recognition Engine such as the number of vocabularies used by the human, multiple users and noisy environment. Nowadays, the Speech Recognition System has been implemented in the field of automotive to control the features in cars such as controlling the multimedia system using command and output action will be performed in order to respond to the user. From the perspective of current technology, there is a long history with several waves of major innovations for Speech Recognition due to this field has benefited from advances in big data and deep learning recently. Actually the advancement of this technology is not only by the surge of academic papers published in the field while world-wide industry has adopted of a variety of deep learning methods in deploying and designing the Speech Recognition System.
车载语音识别交互系统
使计算机系统在麦克风的帮助下理解和识别人类所说的单词或句子的技术被称为语音识别。为了使系统能够识别人类发出的所有单词或句子,需要一个语音识别引擎。实际上,影响语音识别引擎性能的因素有很多,如人类使用的词汇量、多个用户以及嘈杂的环境。目前,语音识别系统已经应用于汽车领域,通过命令控制汽车的多媒体系统,并通过输出动作来响应用户。从当前技术的角度来看,语音识别有很长的历史,有几波重大创新,因为这个领域最近受益于大数据和深度学习的进步。实际上,这项技术的进步不仅仅是由于该领域学术论文的激增,而且世界范围内的工业界在部署和设计语音识别系统时采用了各种深度学习方法。
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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