首页|Research on Machine Learning Described by Researchers at University of Californi a (Speaking without vocal folds using a machinelearning-assisted wearable sensi ng-actuation system)
Research on Machine Learning Described by Researchers at University of Californi a (Speaking without vocal folds using a machinelearning-assisted wearable sensi ng-actuation system)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news originating from the Univers ity of California by NewsRx correspondents, research stated, "Voice disorders re sulting from various pathological vocal fold conditions or postoperative recover y of laryngeal cancer surgeries, are common causes of dysphonia." The news editors obtained a quote from the research from University of Californi a: "Here, we present a self-powered wearable sensing-actuation system based on s oft magnetoelasticity that enables assisted speaking without relying on the voca l folds. It holds a lightweighted mass of approximately 7.2 g, skin-alike modulu s of 7.83 x 105 Pa, stability against skin perspiration, and a maximum stretchab ility of 164%. The wearable sensing component can effectively captu re extrinsic laryngeal muscle movement and convert them into high-fidelity and a nalyzable electrical signals, which can be translated into speech signals with t he assistance of machine learning algorithms with an accuracy of 94.68% . Then, with the wearable actuation component, the speech could be expressed as voice signals while circumventing vocal fold vibration."
University of CaliforniaCyborgsEmerg ing TechnologiesMachine Learning
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