Distributional learning for speech reflects cumulative exposure to a talker's phonetic distributions.

ABSTRACT: Efficient speech perception requires listeners to maintain an exquisite tension between stability of the language architecture and flexibility to accommodate variation in the input, such as that associated with individual talker differences in speech production. Achieving this tension can be guided by top-down learning mechanisms, wherein lexical information constrains interpretation of speech input, and by bottom-up learning mechanisms, in which distributional information in the speech signal is used to optimize the mapping to speech sound categories. An open question for theories of perceptual learning concerns the nature of the representations that are built for individual talkers: do these representations reflect long-term, global exposure to a talker or rather only short-term, local e

SUBMITTER: Theodore RM 

PROVIDER: S-EPMC6559869 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature