3 accepted papers
Acoustic modeling for child speech is challenging due to the high acoustic variability caused by physiological differences in the vocal tract. The dearth of publicly available datasets makes the task more challenging. In this work, we propose a feature adaptation approach by exploiting adversarial m…
Articulatory feedback is effective for computer-assisted pronunciation training (CAPT) systems. This paper investigates efficient model learning methods for providing articulatory information to language learners. We first propose an articulatory attribute modeling method based on a multi-label lear…
For effective articulatory feedback in computer-assisted pronunciation training (CAPT) systems, we address effective articulatory models of second language (L2) learners' speech without using such data, which is difficult to collect and annotate in a large scale. Context-dependent articulatory attri…