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Hao-Tung Lin

dblp:51/5773 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%
Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 100%
Artificial intelligence
1 paper
Speech recognition and synthesis · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval › multimedia analysis › cross-media analysis
cross-media correlation
0.112005
How speech/text alignment benefits web-based learning · ACM Multimedia 2005
Learning and educational technologies
language learning
0.112005
How speech/text alignment benefits web-based learning · ACM Multimedia 2005
Natural language and speech › Speech recognition and synthesis
speech-text alignment
0.012005
How speech/text alignment benefits web-based learning · ACM Multimedia 2005

Methods — techniques the papers use, named apart from their topics

synchronization · 0.2cross-media correlation · 0.2
YearPublicationVenuePosition
2005 How speech/text alignment benefits web-based learning
abstract
This demonstration presents an integrated web-based synchronized scenario for many-to-one cross-media correlations between speech (an EFL, English as Foreign Language, lecture with free-style lecturing behaviors) and the corresponding textual content. The analysis/presentation of the temporal correlations enable the vivid web-based language learning through the interactive functions: browsing speech via content, word-by-word pointer guidance, synchronized scrolling/highlighting, and listening training mode. We regularly analyze and repackage the multimedia content of VoA (Voice of America) [1], ICRT (International Community Radio Taipei) [2], and Online Lectures in our University [3]. Through the subjective experiments, this repackaged synchronized speech/text content does facilitate the learning for EFL learners.
Sheng-Wei Li, Hao-Tung Lin, Herng-Yow Chen
ACM Multimedia2