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This paper introduces a new metric for the quantitative assessment of the similarity of speakers' accents. The ACCDIST metric is based on the correlation of inter-segment distance tables across speakers or groups. Basing the metric on segment similarity within a speaker ensures that it is sensitive to the speaker's pronunciation system rather than to his or(More)
This paper describes the results of a study of the phonetic and phonological factors affecting the rhythm and timing of spoken Korean. Stepwise construction of a CART model was used to uncover the contribution and relative importance of phrasal, syllabic, and segmental contexts. The model was trained from a corpus of 671 read sentences, yielding 42,000(More)
SPAR (Speech-Pattern Algorithms and Representations) is the name given to The project is concerned with advanced speech analysis algorithms, and from the outset saw the need for a system for speech data management. The SPAR Speech Filing System (SFS) was developed to support the design and comparison of analysis algorithms, and to manage many different(More)
The purpose of this article is to indicate how access can be obtained, through Stammering Research, to audio recordings and transcriptions of spontaneous speech data from speakers who stammer. Selections of the first author's data are available in several formats. We describe where to obtain free software for manipulation and analysis of the data in their(More)
We have developed a novel therapy based on a computer program, which enables the patient to create an avatar of the entity, human or non-human, which they believe is persecuting them. The therapist encourages the patient to enter into a dialogue with their avatar, and is able to use the program to change the avatar so that it comes under the patient's(More)
We propose a data driven, non-intrusive method for speech intelligibility estimation. We begin with a large set of speech signal specific features and use a dimensionality reduction approach based on correlation and principal component analysis to find the most relevant features for intelligibility prediction. These are then used to train a Gaussian mixture(More)
Speech synthesis research has been transformed in recent years through the exploitation of speech corpora – both for statistical modelling and as a source of signals for concatenative synthesis. This revolution in methodology and the new techniques it brings calls into question the received wisdom that better computer voice output will come from a better(More)