Christina Orphanidou

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Which acoustic properties of the speech signal differ between rhythmically prominent syllables and non-prominent ones? A production experiment was conducted to identify these acoustic properties. Subjects read out repetitive text to a metronome, trying to match stressed syllables to its beat. The analysis searched for the function of the speech signal that(More)
Introduction The development of improved coil and gradient technology has increased the range of applications for which MRI is beneficial. The use of magnetic resonance (MR) in imaging the vocal tract and measuring articulatory motion is one of the applications benefiting from this development. Initial studies were based on static image acquisition [1,2].(More)
The identification of invalid data in recordings obtained using wearable sensors is of particular importance since data obtained from mobile patients is, in general, noisier than data obtained from nonmobile patients. In this paper, we present a signal quality index (SQI), which is intended to assess whether reliable heart rates (HRs) can be obtained from(More)
In this paper we address the problem of Voice Morphing. We attempt to transform the spectral characteristics of a source speaker's speech signal so that the listener would believe that the speech was uttered by a target speaker. The voice morphing system transforms the spectral envelope as represented by a Linear Prediction model. The transformation is(More)
We report quantitative measurements of coarticulation of the Advanced Tongue Root (ATR) feature in neighbouring and non-neighbouring vowels. Native speakers of Southern British En-glish produced utterances; we matched pairs that were identical except for a contrast of [+ATR] vs. [–ATR] on one " transmitter " vowel. From recordings, we computed an acoustic(More)
A new multiscale voice morphing algorithm using radial basis function (RBF) analysis is presented in this paper. The approach copes well with small training sets of high dimension, which is a problem often encountered in voice morphing. The aim of this algorithm is to transform one person's speech pattern so that it is perceived as if it was spoken by(More)