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  • 标题:A Survey on Speech Recognition in Medical Care
  • 本地全文:下载
  • 作者:Saniya Parveen ; Presilla R
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2019
  • 卷号:7
  • 期号:2
  • 页码:674-678
  • DOI:10.15680/IJIRCCE.2019. 0702032
  • 出版社:S&S Publications
  • 摘要:Nowadays, most users carry high computing power mobile devices where speech recognition is certainly one of the main technologies available in every modern smartphone, although battery draining, and resource shortagehas a big impact on the experienced quality. However, the quality of speech recognition is still not enough in many complex cases to replace the common hand-written text, especially when prompt reaction to short-term provisioning requests is required. To address the new scenario, this paper proposes a mobile information from speech recognition in the Social Care domain, where curers must speak about their patients’ conditions in order to have reliable notes used afterward to plan the best support. We presentreal prototype that we have deployed and thoroughly assessed with different queries, accents, and in presence of load peaks. In our application for social care we are using text to speech conversion. User can fix appointments from home itself and ask idea about wounds/accidents and cold once he visited the doctor. Doctor will reply them accordingly.
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