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Hiroyoshi Matsuda

dblp:62/2950 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—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.

Artificial intelligence
1 paper
Speech recognition and synthesis · 50% Face, body and person analysis · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis › speech analysis
voice activity detection
0.112007
Voice activity detection by lip shape tracking using EBGM · ACM Multimedia 2007

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

infrared imaging · 0.1elastic bunch graph matching · 0.1
YearPublicationVenuePosition
2007 Voice activity detection by lip shape tracking using EBGM
abstract
We propose a voice activity detection of a target speaker (driver) in a car by integrating lip movement and acoustic processing. To prevent the wrong detection caused by nontarget speakers using only acoustic processing, the proposed system extracts the lip movement of the target speaker by measuring the lip aspect ratio. An infrared camera is used to cope with the change of lighting environment. In order to extract the lip from gray scale images, Elastic Bunch Graph Matching is employed. Experimental results showed the proposed system improved the precision rate in the voice activity detection by approximately 40% compared to the method using only acoustic processing in a car.
Masaki Aoki, Ken Masuda, Hiroyoshi Matsuda, Tetsuya Takiguchi, Yasuo Ariki
ACM Multimedia3