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  • 标题:Synthesis of Speech & Speaker Recognition Using Data Driven Approach
  • 本地全文:下载
  • 作者:Leela Kumari ; Rahul Guha ; Geetika Gera
  • 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:1
  • 页码:438-442
  • 出版社:TechScience Publications
  • 摘要:As we can discuss about your Personal Computer then it would provide a comfortable and natural form of communication. This will reduce the typing amount, and it would be effortless, and allow you to move away from the terminal or screen. You will not have to be in the line of sight of the terminal. It will help you in many cases to tell you that who was speaking. If i want to use voice as a new medium on a computer workstation, it is natural explore how speech recognition can contribute to such an environment. Here we will review the state of speech and speaker recognition, focusing on current technology applied to personal workstations. The objective of this paper is to provide explanation of the speech and speaker recognition data input of the user. An algorithm which efficiently determines the optimum coordination of H.M.M has been successfully designed with the help of MATLAB
  • 关键词:Automation system for pattern matching;MATLAB coding speaker identification; Speech processing.
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