Julie Carson-Berndsen

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This paper presents a constraint-based approach to speech recognition which combines aspects of event logic with eecient processing strategies. Although stochastic approaches are currently at the forefront of speech recognition applications, it has now been recognized that linguistic structure is required in order to deal with the problem of recognizing new(More)
A great challenge for text-to-speech synthesis is to produce expressive speech. The main problem is that it is difficult to synthesise high-quality speech using expressive corpora. With the increasing interest in audiobook corpora for speech synthesis, there is a demand to synthesise speech which is rich in prosody, emotions and voice styles. In this work,(More)
This paper investigates the relation between the sound patterns of interjections and their functional realisation in the discourse process. It considers whether certain interjection functions tend to have particular sound distributions. In order to address these questions a classification scheme for American English nonlexical interjections in terms of(More)
Statistical machine translation relies heavily on parallel corpora to train its models for translation tasks. While more and more bilingual corpora are readily available, the quality of the sentence pairs should be taken into consideration. This paper presents a novel lattice score-based data cleaning method to select proper sentence pairs from the ones(More)
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme-to-phoneme conversion to part-of-speech tagging. Traditionally, context is modelled at the hidden states in the form of context-dependent models. This paper constitutes an(More)
HARTFEX is a novel system that employs several tiers of HMMs recognisers that work in parallel to extract multidimentions of articulatory features. The features segments on the different tiers overlap to account for the coarticulation phenomena. The overlap and precedence relation among features are applied to a phonological parser for further processing.(More)
This paper investigates the deployment of multi-agent design techniques in a computational linguistic model of speech recognition, the Time Map model [CarsonBerndsen, 1998]. The architecture of the model is i l lustrated in Figure 1. In brief, phonological features are extracted from the speech signal using Hidden Markov Models resulting in a multi-tiered(More)
This paper describes a strategy for the extension of the phonological lexicon in order that nonstandard forms which arise in fast speech may be processed by a speech recognition system. By way of illustration, an outline of the phonological processing of standard wordforms by the phonological parser (PhoPa) is given and then the extension procedure which is(More)
This paper presents a novel approach to explicit duration modelling for HMM-based speech synthesis. The proposed approach is a two-step process. The first step in this process is state level phone alignment and conversion of phone durations into the number of frames. In the second step, a hidden Markov model (HMM) is trained whereby the observation is the(More)
CNGL, School of Computer Science and Informatics, University College Dublin Dublin, Ireland {eva.szekely|mohamed.abou-zleikha}@ucdconnect.ie, {joao.cabral|peter.cahill|julie.berndsen}@ucd.ie Abstract Audiobooks are a rich resource of large quantities of natural sounding, highly expressive speech. In our previous research we have shown that it is possible to(More)