English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Expressive reading, considered the defining attribute of oral readingfluency, comprises the prosodic realization of phrasing and prominence. In thecontext of evaluating oral reading, it helps to establish the speaker'scomprehension of the text. We consider a labeled dataset of children's readingrecordings for the speaker-independent detection of prominent words usingacoustic-prosodic and lexico-syntactic features. A previous well-tuned randomforest ensemble predictor is replaced by an RNN sequence classifier to exploitpotential context dependency across the longer utterance. Further, deeplearning is applied to obtain word-level features from low-level acousticcontours of fundamental frequency, intensity and spectral shape in anend-to-end fashion. Performance comparisons are presented across the differentfeature types and across different feature learning architectures for prominentword prediction to draw insights wherever possible.

CNN Encoding of Acoustic Parameters for Prominence Detection