Although supervised deep learning has revolutionized speech and audio processing, it has
necessitated the building of specialist models for individual tasks and application scenarios …

" The first description of voice quality production in 40 years, this book provides a new
framework for its study: The Laryngeal Articulator Model. Informed by instrumental …

Recent innovations in 3D motion capture technology such as electromagnetic articulography
(EMA) are providing unprecedented access to the intricate movements of the articulators …

Canonical correlation analysis (CCA) and kernel CCA can be used for unsupervised
learning of acoustic features when a second view (eg, articulatory measurements) is …

The study of articulatory gestures has a wide spectrum of applications, notably in speech
production and recognition. Sets of phonemes, as well as their articulation, are language …

Real-time Magnetic Resonance Imaging (rtMRI) was used to examine mechanisms of sound
production by an American male beatbox artist. rtMRI was found to be a useful modality with …

In this work, Mandarin tone production is examined using simultaneous laryngoscopy and
laryngeal ultrasound (SLLUS). Laryngoscopy is used to obtain information about laryngeal …

This dissertation examines the phonetic and phonological functioning of the supraglottal part
of the larynx, the epilarynx, from an articulatory-physiological perspective. The central thesis …

Purpose Differences in vocal tract morphology have the potential to explain interspeaker
variability in speech production. The potential acoustic impact of hard palate shape was …

The conventional approach for data-driven articulatory synthesis consists of modeling the
joint acoustic-articulatory distribution with a Gaussian mixture model (GMM), followed by a …