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  • 标题:A Survey Paper on Automatic Speech Recognition by Machine
  • 本地全文:下载
  • 作者:Dinesh Kumar Dansena ; Yogesh Rathore
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:3
  • 页码:2918-2922
  • 出版社:TechScience Publications
  • 摘要:Speech is the expression of or the ability to express thoughts and feelings by articulate sounds. It is the main way of communication between humans. There are thousands of languages used in the world. Speech recognition is a process of recognition of human speech by computer and giving the string output of spoken sentence in written form. There are lots of advantages of speech recognition. There are many methods of speech recognition but yet we have not get 100% result of speech recognition. Here in this paper we will explain the development in speech recognition from 1952 to 2014. Finally we will give conclusion that which approach to speech recognition is best and will be beneficial for the future in the field of speech recognition
  • 关键词:Automatic Speech Recognition (ASR); Acoustic-;Phonetic approach; pattern-comparison technique; Artificial;Intelligence approach; Hidden Markov Model (HMM).
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