Recognition in a new key-towards a science of spoken language

Automatic speech recognition in the twenty-first century will strive to emulate many properties of human speech understanding that currently lie beyond the capability of present-day systems. Such future-generation recognition will require massive amounts of empirical data in order to derive the organizational principles underlying the generation and decoding of spoken language. Such data can be efficiently collected through systematic computational experimentation designed to identify the important building blocks of speech and delineate the nature of the structural interactions among linguistic tiers associated with the extraction of semantic information.

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