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¿µ¹®Ç¥Áظí Procedure of Building Data for Artificial Intelligence Training for the Development of Nursing Support Voice Recognition Model
Çѱ۳»¿ë¿ä¾à ÀÌ Ç¥ÁØÀº ºñÁ¤ÇüÈ­µÇ¾îÀÖ´Â °£È£±â·ÏÀ» À½¼ºµ¥ÀÌÅÍ¿Í ÀÓ»ó µ¥ÀÌÅÍ·Î ±¸ÃàÇÏ´Â ¹æ¾ÈÀ» °£È£±â·ÏÀÇ È¹µæ, °³ÀÎÁ¤º¸º¸È£¸¦ À§ÇÑ À͸íÈ­, ÀÓ»ó µ¥ÀÌÅÍ·Î ±¸ÃàÇϱâ À§ÇÑ ½Ã³ª¸®¿À ½ºÅ©¸³Æ®¿Í ¹ßÀ½ ½ºÅ©¸³Æ® »ý¼º ¹× °Ë¼ö, ¹ßÀ½ ½ºÅ©¸³Æ®¸¦ ±â¹ÝÀ¸·Î ³ìÀ½ÇÑ À½¼ºµ¥ÀÌÅÍ »ý¼º ¹× °Ë¼ö·Î Á¤ÀÇÇÑ´Ù. ÀÌ¿Í ÇÔ²² ±¸ÃàµÈ °á°ú¹°ÀÎ ÀÓ»ó µ¥ÀÌÅÍ¿Í À½¼ºµ¥ÀÌÅÍÀÇ È°¿ë ¿¹¸¦ Á¦½ÃÇÑ´Ù.
¿µ¹®³»¿ë¿ä¾à This standard proposes a way to build unstructured nursing records into voice data, the clinical data for training speech recognition models optimized for medical environments. After collecting nursing records and anonymizing them to protect personal information, a script is generated to build them as clinical data. Scripts are generated by dividing them into scenario scripts to be trained together in the speech learner and pronunciation scripts so that all speakers can record them consistently. Voice data is generated by recording based on a pronunciation script. After examining the data at each stage, scenario scripts and voice data, which are clinical data, are finally established.
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°ü·ÃÆÄÀÏ TTAK.KO-10.1360.pdf TTAK.KO-10.1360.pdf            

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