Title | ||
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Text Summarization and Speech Synthesis for the Automated Generation of Personalized Audio Presentations |
Abstract | ||
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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 |
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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 Lawless | 1 | 111 | 30.18 |
Peter Lavin | 2 | 3 | 1.06 |
Mostafa Bayomi | 3 | 5 | 2.45 |
João P. Cabral | 4 | 103 | 12.77 |
M. Rami Ghorab | 5 | 69 | 8.08 |