首页|Findings from Massachusetts General Hospital Provides New Data on Machine Learni ng (Consistency of the Signature of Phonotraumatic Vocal Hyperfunction Across Di fferent Ambulatory Voice Measures)
Findings from Massachusetts General Hospital Provides New Data on Machine Learni ng (Consistency of the Signature of Phonotraumatic Vocal Hyperfunction Across Di fferent Ambulatory Voice Measures)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Boston, Massac husetts, by NewsRx editors, research stated, “Although differentfactors and voi ce measures have been associated with phonotraumatic vocal hyperfunction (PVH), it isunclear what percentage of individuals with PVH exhibit such differences d uring their daily lives. Thisstudy used a machine learning approach to quantify the consistency with which PVH manifests accordingto ambulatory voice measures .”
BostonMassachusettsUnited StatesNo rth and Central AmericaCyborgsEmerging TechnologiesMachine LearningMassa chusetts General Hospital
NETL
NSTL
