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  • 标题:A Comparative Study on Speech Recognition Approaches and Models
  • 本地全文:下载
  • 作者:K Naga Abhishek Reddy ; Parul Agrawal ; Poonam Singh
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2017
  • 卷号:43
  • 期号:2
  • 页码:118-123
  • DOI:10.14445/22312803/IJCTT-V43P117
  • 出版社:Seventh Sense Research Group
  • 摘要:This paper is a study on various speech recognition and speech to text conversion approaches. Speech recognition applications are finding its importance today, and various interactive speech aware applications are available in the market. Speech recognition has become one of the widely used technologies, as it offers great opportunity to interact and communicate with automated machines in various parts of life, right from walk y talkies to mobile phones, microphones to earphones, we use speech or voice inputs. Recent researches have revealed that speech recognition has various issues that affect the decoding of speech. In order to overcome these issues, different models are developed by the researchers. This study is an effort to compare different approaches and models applied for speech recognition based on their type, advantages disadvantages and how voice input is taken into the system.
  • 关键词:Speech recognition; comparisons; different approaches of speech recognition.
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