作者: E. Formisano , F. De Martino , M. Bonte , R. Goebel
关键词:
摘要: Can we decipher speech content ("what" is being said) and speaker identity ("who" saying it) from observations of brain activity a listener? Here, combine functional magnetic resonance imaging with data-mining algorithm retrieve what whom person listening to the neural fingerprints that voice signals elicit in listener's auditory cortex. These cortical are spatially distributed insensitive acoustic variations input so as permit brain-based recognition learned unknown speakers voices previously unheard utterances. Our findings unravel detailed layout computational properties populations at basis human identification.