An approach to speech recognition using synthesis by rule
Computer speech processing
Speech Communication - Special issue on speech under stress
Speech recognition by machines and humans
Speech Communication
Speech Communication - Special issue on robust speech recognition
Perceptual control and layered prtocols in interface design: II. The general protocol grammar
International Journal of Human-Computer Studies
The harpy speech recognition system.
The harpy speech recognition system.
On Intelligence
2006 Special issue: Mirror neurons and imitation: A computationally guided review
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
Letter to the Editor: Imitation and memory in language origins
Neural Networks
Production-Oriented Models for Speech Recognition
IEICE - Transactions on Information and Systems
Spoken language processing: Piecing together the puzzle
Speech Communication
Towards a unified theory of spoken language processing
ICCI '05 Proceedings of the Fourth IEEE International Conference on Cognitive Informatics
A Granular Architecture for Dynamic Realtime Dialogue
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Review: Some background on dialogue management and conversational speech for dialogue systems
Computer Speech and Language
Automated risk assessment: a hierarchical temporal memory approach
DNCOCO'10 Proceedings of the 9th WSEAS international conference on Data networks, communications, computers
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Towards the detection of social dominance in dialogue
Speech Communication
Perceptual control architecture for cyber-physical systems in traffic incident management
Journal of Systems Architecture: the EUROMICRO Journal
Spoken language processing: where do we go from here?
Your Virtual Butler
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Recent years have seen steady improvements in the quality and performance of speech-based human-machine interaction driven by a significant convergence in the methods and techniques employed. However, the quantity of training data required to improve state-of-the-art systems seems to be growing exponentially, and performance appears to be asymptoting to a level that may be inadequate for many real-world applications. This suggests that there may be a fundamental flaw in the underlying architecture of contemporary systems, as well as a failure to capitalize on the combinatorial properties of human spoken language. This paper addresses these issues and presents a novel architecture for speech-based human-machine interaction inspired by recent findings in the neurobiology of living systems. Called PRESENCE 'PREdictive SENsorimotor Control and Emulation' - this new architecture blurs the distinction between the core components of a traditional spoken language dialogue system and, instead, focuses on a recursive hierarchical feedback control structure. Cooperative and communicative behavior emerges as a by-product of an architecture that is founded on a model of interaction in which the system has in mind the needs and intentions of a user, and a user has in mind the needs and intentions of the system.