13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Modeling Spoken Language Acquisition with a Generic Cognitive Architecture for Associative Learning

Okko Räsänen, Heikki Rasilo, Unto K. Laine

Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland

Human neo-cortex can be viewed as a modality invariant system for pattern discovery and associative learning. Similarly, research in the field of distributional learning suggests that much of human language acquisition can be explained by generic statistical learning mechanisms. The current paper argues that pattern processing capabilities of the human brain can be better understood if the process of early language acquisition is modeled using an entire cognitive architecture capable of unsupervised pattern discovery and associative learning. A high-level motivation and description for generic processing principles in such architecture are given, followed by examples of our current work in the field.

Index Terms: language acquisition, computational modeling, statistical learning, associative learning, multimodality, memory architectures

Full Paper

Bibliographic reference.  Räsänen, Okko / Rasilo, Heikki / Laine, Unto K. (2012): "Modeling spoken language acquisition with a generic cognitive architecture for associative learning", In INTERSPEECH-2012, 919-922.