We explored a database covering seven dialects of British and Irish English and three
different styles of speech to find acoustic correlates of prominence. We built classifiers …

This paper investigates the use of multidistribution deep neural networks (DNNs) for
mispronunciation detection and diagnosis (MDD), to circumvent the difficulties encountered …

I investigate the acoustic correlates of prosodic prominence and boundary, as they are
perceived by naïve listeners, in spontaneous speech from American English (Buckeye …

This paper investigates the use of multi-distribution deep neural networks (MD-DNNs) for
automatic lexical stress detection and pitch accent detection, which are useful for …

Prosody, or intonation, is a critically important component of spoken communication. The
automatic extraction of prosodic information is necessary for machines to process speech …

A robust language learning system, designed to help students practice a foreign language
along with a machine tutor, must provide meaningful feedback to users by isolating and …

This paper investigates the use of multi-distribution deep neural networks (MD-DNNs) for
automatic intonation classification in second-language (L2) English speech. If a classified …

Reading is a foundational skill and the focus of school-level education efforts across
countries. The assessment of linguistic competence from oral reading has long been the …

Speech interaction systems have been gaining popularity in recent years. The main purpose
of these systems is to generate more satisfactory responses according to users' speech …

This paper investigates lexical stress detection for L2 English speech using Deep Belief
Networks (DBNs). The features of the DBN used in this work include the syllable-based …