MIT-led group uses machines to fix vocal problems

An MIT and Massachusetts General Hospital group believes that machine learning can play a role in better understanding speech disorders and correcting vocal issues.The team recently described using a wearable gadget to gather accelerometer data to determine differences in people with Muscle Tension Dysphonia (MTD) compared to a control group.  The individuals with MTD were then given therapy to treat their condition, and their behaviors seemed to almost match that of the control group after treatment. See Also: New mental health technology tells your doctor what you won’t The group explaining the project stated, “We believe this approach could help detect disorders that are exacerbated by vocal misuse, and help to empirically measure the impact of voice therapy. Our long-term goal is for such a system to be used to…


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