An approach to speech recognition using synthesis by rule
Computer speech processing
Fundamentals of speech recognition
Fundamentals of speech recognition
Towards increasing speech recognition error rates
Speech Communication
Speech Communication - Special issue on speech under stress
An introduction to text-to-speech synthesis
An introduction to text-to-speech synthesis
Speech recognition by machines and humans
Speech Communication
Speech motor control: acoustic goals, saturation effects, auditory feedback and internal models
Speech Communication - Special issue on speech production: models and data
Learning to speak. Sensori-motor control of speech movements
Speech Communication - Special issue on speech production: models and data
Statistical methods for speech recognition
Statistical methods for speech recognition
Computational auditory scene analysis
Speech Communication - Special issue on robust speech recognition
Editorial: Perceptual control theory and its application
International Journal of Human-Computer Studies
Robust automatic speech recognition with missing and unreliable acoustic data
Speech Communication
Speech Communication - Dialogue and prosody
Improvements in Speech Synthesis
Improvements in Speech Synthesis
Vocal communication of emotion: a review of research paradigms
Speech Communication - Special issue on speech and emotion
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Metacognition in computation: a selected research review
Artificial Intelligence
2005 Special Issue: The interaction of attention and emotion
Neural Networks - Special issue: Emotion and brain
Grand Challenges for Computing Research
The Computer Journal
Growing up with Lucy
Towards a unified theory of spoken language processing
ICCI '05 Proceedings of the Fourth IEEE International Conference on Cognitive Informatics
From mirror neurons to joint actions
Cognitive Systems Research
Editorial note: Bridging the gap between human and automatic speech recognition
Speech Communication
PRESENCE: A Human-Inspired Architecture for Speech-Based Human-Machine Interaction
IEEE Transactions on Computers
Connection Science - Language and Robots
Salience-driven Contextual Priming of Speech Recognition for Human-Robot Interaction
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Correlating natural language parser performance with statistical measures of the text
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
A salience-driven approach to speech recognition for human-robot interaction
ESSLLI'08/09 Proceedings of the 2008 international conference on Interfaces: explorations in logic, language and computation
Spoken language processing: where do we go from here?
Your Virtual Butler
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Attempting to understand the fundamental mechanisms underlying spoken language processing, whether it is viewed as behaviour exhibited by human beings or as a faculty simulated by machines, is one of the greatest scientific challenges of our age. Despite tremendous achievements over the past 50 or so years, there is still a long way to go before we reach a comprehensive explanation of human spoken language behaviour and can create a technology with performance approaching or exceeding that of a human being. It is argued that progress is hampered by the fragmentation of the field across many different disciplines, coupled with a failure to create an integrated view of the fundamental mechanisms that underpin one organism's ability to communicate with another. This paper weaves together accounts from a wide variety of different disciplines concerned with the behaviour of living systems - many of them outside the normal realms of spoken language - and compiles them into a new model: PRESENCE (PREdictive SENsorimotor Control and Emulation). It is hoped that the results of this research will provide a sufficient glimpse into the future to give breath to a new generation of research into spoken language processing by mind or machine.