首页|Findings from New York University (NYU) Broaden Understanding of Artificial Inte lligence (A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis)
Findings from New York University (NYU) Broaden Understanding of Artificial Inte lligence (A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning - Ar tificial Intelligence have been presented. According to news originating from Ne w York City, New York, by NewsRx correspondents, research stated, “Decoding huma n speech from neural signals is essential for brain-computer interface (BCI) tec hnologies that aim to restore speech in populations with neurological deficits. However, it remains a highly challenging task, compounded by the scarce availabi lity of neural signals with corresponding speech, data complexity and high dimen sionality.” Funders for this research include National Science Foundation under Grant No. II S-1912286 National Institute of Health R01NS109367, R01NS115929, R01DC018805 (A. F.), National Science Foundation (NSF), National Institutes of Health (NIH) - US A.
New York CityNew YorkUnited StatesNorth and Central AmericaArtificial IntelligenceMachine LearningNew York U niversity (NYU)