{"title":"Speech recognition interactive system for vehicle","authors":"Chee Yang Loh, K. L. Boey, Kai Sze Hong","doi":"10.1109/CSPA.2017.8064929","DOIUrl":null,"url":null,"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.","PeriodicalId":445522,"journal":{"name":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 13th International Colloquium on Signal Processing & its Applications (CSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSPA.2017.8064929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.