Brain-inspired speech segmentation for automatic speech recognition using the speech envelope as a temporal reference.

ABSTRACT: Speech segmentation is a crucial step in automatic speech recognition because additional speech analyses are performed for each framed speech segment. Conventional segmentation techniques primarily segment speech using a fixed frame size for computational simplicity. However, this approach is insufficient for capturing the quasi-regular structure of speech, which causes substantial recognition failure in noisy environments. How does the brain handle quasi-regular structured speech and maintain high recognition performance under any circumstance? Recent neurophysiological studies have suggested that the phase of neuronal oscillations in the auditory cortex contributes to accurate speech recognition by guiding speech segmentation into smaller units at different timescales. A phase-locked rel

SUBMITTER: Lee B 

PROVIDER: S-EPMC5120313 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature