Prosodic features are important in achieving intelligibility, comprehensibility, and fluency in a
second or foreign language (L2). However, research on the assessment of prosody as part …

This work describes a complete study addressing the pathological speech processing. It
focuses principally on the speech correction and the assistance to learners of Arabic …

Spoken language training benefits from showing a video of native speakers' articulatory
movements to train the second language learners. Typically, the articulatory video is …

In the present work, we describe and discuss two studies in the field of motivating-speech
research. The studies investigate voice-quality features (study 1) and pragmatic aspects …

Automatic syllable stress detection methods typically consider syllable-level features as
independent. However, as per linguistic studies, there is a dependency among the syllables …

Automatic syllable stress detection is typically operated at syllable level with stress-related
acoustic features. The stress placed on a syllable is influenced not only by its own …

For the benefit of spoken language training, concatenation based articulatory video
synthesis has been proposed in the past to overcome the limitation in the articulatory data …

Typically, automatic syllable stress detection is posed as a supervised classification
problem, for which, a classifier is trained using manually annotated (existing) syllable data …

The dominant automatic lexical stress detection method is to split the utterance into syllable
segments using phoneme sequence and their time-aligned boundaries. Then we extract …

Automatic syllable stress detection is helpful in assessing L2 learners' pronunciation. In this
work, for stress detection, we propose a representation learning framework by jointly …