Philip Hanna

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Systemic anthrax infections can be characterized as proceeding in stages, beginning with an early intracellular establishment stage within phagocytes that is followed by extracelluar stages involving massive bacteraemia, sepsis and death. Because most bacteria require iron, and the host limits iron availability through homeostatic mechanisms, we(More)
Errors can occur at every level of a dialogue, from the recognition of what words were spoken to the understanding of the intentions behind the words. Our approach to errorhandling assumes that errors cannot be avoided in spoken dialogue and that it is more useful to focus on methods for detecting and dealing with miscommunication when it occurs. An(More)
This paper investigates the effect of modeling subband correlation for noisy speech recognition. Subband feature streams are assumed to be independent in many subband-based speech recognition systems. However, speech recognition experimental results suggest this assumption is unrealistic. In this paper, a method is proposed to incorporate correlation into(More)
In this article we describe how Java can be used to implement an object-based, cross-domain, mixed initiative spoken dialogue manager (DM). We describe how dialogue that crosses between several business domains can be modelled as an inheriting and collaborating suite of objects suitable for implementation in Java. We describe the main features of the Java(More)
Advanced spoken dialogue systems incorporate functionalities such as mixed-initiative and cross-domain dialogues. In this paper an object-based approach to cross domain dialogue modelling is described in which service agents representing primary transaction types and support agents representing tasks such as eliciting payment details are selected as(More)
Statistical language models should improve as the size of the n-grams increases from 3 to 5 or higher. However, the number of parameters and calculations, and the storage requirement increase very rapidly if we attempt to store all possible combinations of n-grams. To avoid these problems, the reduced n-grams’ approach previously developed by O’Boyle (1993)(More)
This paper investigates the problem of speaker identification in noisy conditions, assuming that there is no prior knowledge about the noise. To confine the effect of the noise on recognition, we use a multi-stream approach to characterize the speech signal, assuming that while all of the feature streams may be affected by the noise, there may be some(More)
Most current speech recognition systems are built upon a single type of model, e.g. an HMM or certain type of segment based model, and furthermore typically employs only one type of acoustic feature e.g. MFCCs and their variants. This entails that the system may not be robust should the modeling assumptions be violated. Recent research efforts have(More)