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Litao Wu

dblp:178/8546 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, 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.

Artificial intelligence
1 paper
Speech recognition and synthesis · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
acoustic modeling		 0.212016
Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation · AAAI 2016
Natural language and speech › Speech recognition and synthesis › acoustic modeling
deep neural network acoustic modeling		 0.212016
Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation · AAAI 2016

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

empirical investigation · 0.2
YearPublicationVenuePosition
2016 Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation
Xingfu Wang, Lin Wang 0092, Litao Wu
 AAAI4