Does “the motor system” play “a role” in speech perception? If so, where, how, and when?
We conducted a systematic review that addresses these questions using both qualitative …

Machine learning is useful for grid-based crime prediction. Many previous studies have
examined factors including time, space, and type of crime, but the geographic characteristics …

It has been previously shown that, when both acoustic and articulatory training data are
available, it is possible to improve phonetic recognition accuracy by learning acoustic …

Studies have shown that articulatory information helps model speech variability and,
consequently, improves speech recognition performance. But learning speaker-invariant …

Though depression is a common mental health problem with significant impact on human
society, it often goes undetected. We explore a diverse set of features based only on spoken …

This paper reports on the results of the Zero Resource Speech Challenge 2015, the first
unified benchmark for zero resource speech technology, which aims at the unsupervised …

The rapid population aging has stimulated the development of assistive devices that provide
personalized medical support to the needies suffering from various etiologies. One …

Speech inversion is a well-known ill-posed problem and addition of speaker differences
typically makes it even harder. Normalizing the speaker differences is essential to effectively …

There are several technologies like Electromagnetic articulometry (EMA), ultrasound, real-
time Magnetic Resonance Imaging (MRI), and X-ray microbeam that are used to measure …

Speech inversion is a well-known ill-posed problem and addition of speaker differences
typically makes it even harder. This paper investigates a vocal tract length normalization …