Title
Text Summarization and Speech Synthesis for the Automated Generation of Personalized Audio Presentations
Abstract
In today's fast-paced world, users face the challenge of having to consume a lot of content in a short time. This situation is exacerbated by the fact that content is scattered in a range of different languages and locations. This research addresses these challenges using a number of natural language processing techniques: adapting content using automatic text summarization; enhancing content accessibility through machine translation; and altering the delivery modality through speech synthesis. This paper introduces Lean-back Learning (LbL), an information system that delivers automatically generated audio presentations for consumption in a "lean-back" fashion, i.e. hands-busy, eyes-busy situations. These presentations are personalized and are generated using multilingual multi-document text summarization. The paper discusses the system's components and algorithms, in addition to initial system evaluations.
Year
DOI
Venue
2015
10.1007/978-3-319-19581-0_28
Lecture Notes in Computer Science
Keywords
Field
DocType
Lean-back learning,Text summarization,Speech synthesis,Multilingual content adaptation, personalization
Information system,Automatic summarization,Speech synthesis,Computer science,Machine translation,Artificial intelligence,Natural language processing,Multimedia
Conference
Volume
ISSN
Citations 
9103
0302-9743
1
PageRank 
References 
Authors
0.36
12
5
Name
Order
Citations
PageRank
Séamus Lawless111130.18
Peter Lavin231.06
Mostafa Bayomi352.45
João P. Cabral410312.77
M. Rami Ghorab5698.08