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The possibility of speech processing in the absence of an intelligible acoustic signal has given rise to the idea of a ‘silent speech’ interface, to be used as an aid for the speech-handicapped, or as part of a communications system operating in silence-required or high-background-noise environments. The article first outlines the emergence of the silent(More)
The main objectives of our study were to estimate the impact of a mercury cell chlor-alkali (MCCA) complex in Rosignano Solvay (Tuscany, Italy) on the local environment and to assess mercury exposure of inhabitants living near the plant. Measurement campaigns of atmospheric Hg near the MCCA plant showed that the impact of the emitted Hg from the industry on(More)
The article describes a video-only speech recognition system for a “silent speech interface” application, using ultrasound and optical images of the voice organ. A one-hour audiovisual speech corpus was phonetically labeled using an automatic speech alignment procedure and robust visual feature extraction techniques. HMM-based stochastic models were(More)
A machine learning technique is used to match reconstructed tongue contours in 30 frame per second ultrasound images to speaker vocal tract parameters obtained from a synchronized audio track. Speech synthesized using the learned parameters and noise as an activation function displays many of the time and frequency domain characteristics of the original(More)
The article presents the results of tests of a portable post-laryngectomy voice replacement system that allows a silently articulating speaker to select and play back short phrases contained in a 60-phrase phrasebook. Such a system could be a useful communication tool for post-laryngectomy patients unable to use tracheo-oesophageal speech. Experiments on(More)
The article compares two approaches to the description of ultrasound vocal tract images for application in a "silent speech interface," one based on tongue contour modeling, and a second, global coding approach in which images are projected onto a feature space of Eigentongues. A curvature-based lip profile feature extraction method is also presented.(More)
In the past few years a wide variety of applications of neural networks to pattern recognition in experimental high energy physics has appeared. The neural network salulions are in general of high quality, and. in a number of cases, are superior to those obtained using ‘uaditionar methods. But neural networks are of particular interest in high energy(More)
This paper presents recent developments on our “silent speech interface” that converts tongue and lip motions, captured by ultrasound and video imaging, into audible speech. In our previous studies, the mapping between the observed articulatory movements and the resulting speech sound was achieved using a unit selection approach. We investigate here the use(More)
We conducted a study within the framework of the interdisciplinary European Mercury Emission from Chloralkali Plants (EMECAP) project to assess exposure to mercury (Hg) and the contribution of Hg emissions from a mercury cell chloralkali plant to urinary mercury (U-Hg) in adults living near the plant. We collected data from questionnaires and first morning(More)
Ultrasound imaging of the tongue and videos of lips movements can be used to investigate specific articulation in speech or singing voice. In this study, tongue and lips image sequences recorded during singing performance are used to predict vocal tract properties via Line Spectral Frequencies (LSF). We focused our work on traditional Corsican singing(More)