We propose a practical, feature-level and score-level fusion approach by combining
acoustic and estimated articulatory information for both text independent and text dependent …

In subject-independent acoustic-to-articulatory inversion, the articulatory kinematics of a test
subject are estimated assuming that the training corpus does not include data from the test …

Acoustic-to-articulatory inversion (AAI) involves mapping from the acoustic to the articulatory
space. Signal-processing features like the MFCCs, have been widely used for the AAI task …

Representation learning is one of the fundamental issues in modeling articulatory-based
speech synthesis using target-driven models. This paper proposes a computational strategy …

This paper proposes a definition for articulatory as well as acoustic gestures along with a
method to segment the measured articulatory trajectories and the acoustic waveform into …

We propose a practical, feature-level fusion approach for combining acoustic and
articulatory information in speaker verification task. We find that concatenating articulation …

Computer-aided pronunciation training (CAPT) is a subcategory of computer-aided
language learning (CALL) that deals with the correction of mispronunciation during …

This paper presents an Acoustic-to-Articulatory inversionmethod based on local regression.
Two types of local regression, a non-parametric and a local linear regression have …

The effortless speech production in humans requires coordinated movements of the
articulators such as lips, tongue, jaw, velum, etc. Therefore, measured trajectories obtained …

With the investigation of speech-related biosignals we can enhance traditional speech
synthesis which might be useful for future brain-computer interfaces. In a recent previous …