Adaptive filter theory
Agents that reduce work and information overload
Communications of the ACM
A z-domain transfer function solution to the non-minimum phase acoustic beamformer
International Journal of Systems Science
A conversational agent based on a conceptual interpretation of a data driven semantic space
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Signal enhancement using beamforming and nonstationarity withapplications to speech
IEEE Transactions on Signal Processing
Personal and Ubiquitous Computing
| Hi-index | 0.00 |
This paper explores the problems of speech recognition in a (sometimes) noisy environment. An adaptive acoustic beamformer is proposed based on the Griffiths-Jim method and a 'hot-spot' where speech can be received within a geometric-defined boundary and rejected outside of it will be shown to give a certain amount of noise immunity and improve the signal-to-noise ratio for the second stage, which is the speech recognition engine. The recognition engine used has a limited vocabulary which gives rise to an excellent hit-rate and less training than unlimited vocabulary. The technology here has improved vastly within the last decade and it will be shown that by using a head and shoulders avatar that is both photo-realistic and with appealing personality, the experience of a speech interface is vastly enhanced. The paper will explore these technologies and investigate the convergence of many of them in the current Massey smart-office.