Implicit structure in continuous speech
نویسنده
چکیده
This study investigates how implicit linguistic structure available in the speech signal can be derived without pre-programmed linguistic knowledge. The aim is to relate infants’ learning of the ambient language with computational methods of speech processing. A model is designed to mimic human biological constraints rather than adult knowledge of language and rules. Our hypothesis is that the system should be able to find possible word candidates and get some sense of linguistic structure by simply taking advantage of the regularities available in the speech signal. We evaluate the model using IDS (infant directed speech) and illustrate how implicit linguistic structure can be derived from the speech signal as an unintended consequence of a general pattern-matching process. We discuss how the ideas underlying the model also can prove useful in accounting for other aspects of information processing.
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