USC-TIMIT is an extensive database of multimodal speech production data, developed to
complement existing resources available to the speech research community and with the …

It is hypothesized that pauses at major syntactic boundaries (ie, grammatical pauses), but
not ungrammatical (eg, word search) pauses, are planned by a high-level cognitive …

We analyze how fusing features obtained from different multimodal data streams such as
speech, face, body movement and emotion tracks can be applied to the scoring of multimodal …

Recent advances in real-time magnetic resonance imaging (RT-MRI) have made it possible
to study the anatomy and dynamic motion of the vocal tract during speech production with …

We introduce a new method to grade non-native spoken language tests automatically.
Traditional automated response grading approaches use manually engineered time-aggregated …

We present a new computational model of speech motor control: the Feedback-Aware
Control of Tasks in Speech or FACTS model. FACTS employs a hierarchical state feedback …

Recent CALL technology reviews cover a plethora of technologies available to language
learners to improve a variety of skills, including speaking. However, few technology-enhanced …

Purpose: Over the past decade, the signal processing and machine learning literature has
demonstrated notable advancements in automated speech processing with the use of artificial …

This paper presents an automatic procedure to analyze articulatory setting in speech
production using real-time magnetic resonance imaging of the moving human vocal tract. The …

We present MRI-TIMIT: a large-scale database of synchronized audio and real-time magnetic
resonance imaging (rtMRI) data for speech research. The database currently consists of …