Automatically Structuring Text for Audio Learning

Combining pattern recognition and deep-learning-based algorithms to automatically detect commercial quadcopters using audio signals (Research Article)

Commercial quadcopters with many private, commercial, and public sector applications are a rapidly advancing technology. Currently, there is no guarantee to facilitate the safe operation of these devices in the community. Three different automatic commercial quadcopters identification methods are presented in this paper. Among these three techniques, two are based on deep neural networks in whi...

Vodcast: A Breakthrough in Developing Incidental Vocabulary Learning

Incidental vocabulary learning is often seen as superior to direct instruction on many occasions. Meanwhile, upon the emergence of the World Wide Web, second language (SL) learners have been introduced to 'podcasts' (recorded audio and video online broadcasts) which could be authentic sources of vocabulary learning. The relatively recent phenomenon of video podcast (vodcast) might be considered...

Automatically structuring free-text radiology reports using a machine learning algorithm

Automatically Structuring Videos into Audio Scenes and Audio Chapters

This paper introduces audio scenes and audio chapters in movies and presents an efficient algorithm for automatically structuring a video based on the audio stream only. The automatic solution to audio scene and chapter segmentation is evaluated on manually segmented videos.

Extracting domain knowledge from tables of contents

Knowledge in textual form is always presented as visually and hierarchically structured units of text, which is particularly true in the case of academic texts. One research hypothesis of the ongoing project Knowledge ordering in texts— text structure and structure visualisations as sources of natural ontologies1 is that the textual structure of academic texts effectively mirrors essential part...