publication . Article . Other literature type . 2016

Neural speech recognition: continuous phoneme decoding using spatiotemporal representations of human cortical activity.

Moses, David A; Mesgarani, Nima; Leonard, Matthew K; Chang, Edward F;
Open Access
  • Published: 03 Aug 2016 Journal: Journal of Neural Engineering, volume 13, page 56,004 (issn: 1741-2560, eissn: 1741-2552, Copyright policy)
  • Publisher: IOP Publishing
Abstract
Objective. The superior temporal gyrus (STG) and neighboring brain regions play a key role in human language processing. Previous studies have attempted to reconstruct speech information from brain activity in the STG, but few of them incorporate the probabilistic framework and engineering methodology used in modern speech recognition systems. In this work, we describe the initial efforts toward the design of a neural speech recognition (NSR) system that performs continuous phoneme recognition on English stimuli with arbitrary vocabulary sizes using the high gamma band power of local field potentials in the STG and neighboring cortical areas obtained via electro...
Subjects
arXiv: Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Computer Science::SoundQuantitative Biology::Neurons and Cognition
free text keywords: Cellular and Molecular Neuroscience, Biomedical Engineering, Time delay neural network, Speech recognition, Speech Recognition Software, Language model, Computer science, Decoding methods, Vocabulary, media_common.quotation_subject, media_common, Viterbi decoder, Feature vector, Linear discriminant analysis, Article
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publication . Article . Other literature type . 2016

Neural speech recognition: continuous phoneme decoding using spatiotemporal representations of human cortical activity.

Moses, David A; Mesgarani, Nima; Leonard, Matthew K; Chang, Edward F;