Brain-to-text: decoding spoken phrases from phone representations in the brain.

ABSTRACT: It has long been speculated whether communication between humans and machines based on natural speech related cortical activity is possible. Over the past decade, studies have suggested that it is feasible to recognize isolated aspects of speech from neural signals, such as auditory features, phones or one of a few isolated words. However, until now it remained an unsolved challenge to decode continuously spoken speech from the neural substrate associated with speech and language processing. Here, we show for the first time that continuously spoken speech can be decoded into the expressed words from intracranial electrocorticographic (ECoG) recordings.Specifically, we implemented a system, which we call Brain-To-Text that models single phones, employs techniques from automatic speech recog

SUBMITTER: Herff C 

PROVIDER: S-EPMC4464168 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature