no code implementations • LREC 2020 • Sabrina Stehwien, Lena Henke, John Hale, Jonathan Brennan, Lars Meyer
The planned release of the LPPC combines linguistic and EEG data for many languages using fully automatic methods, and thus constitutes a readily extendable resource that supports cross-linguistic and cross-disciplinary research.
no code implementations • 14 May 2018 • Sabrina Stehwien, Ngoc Thang Vu, Antje Schweitzer
Pitch accent detection often makes use of both acoustic and lexical features based on the fact that pitch accents tend to correlate with certain words.
no code implementations • WS 2017 • Ina Rösiger, Sabrina Stehwien, Arndt Riester, Ngoc Thang Vu
Adding manually annotated prosodic information, specifically pitch accents and phrasing, to the typical text-based feature set for coreference resolution has previously been shown to have a positive effect on German data.
no code implementations • 2 Jun 2017 • Sabrina Stehwien, Ngoc Thang Vu
This paper demonstrates the potential of convolutional neural networks (CNN) for detecting and classifying prosodic events on words, specifically pitch accents and phrase boundary tones, from frame-based acoustic features.