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Michael J. Collins 0004

dblp:16/3962-4 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
speech production		 0.011999
Generating gestural scores from articulatory data using temporal decomposition · IEEE Trans. Speech Audio Process. 1999

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

temporal decomposition · 0.0
YearPublicationVenuePosition
1999 Generating gestural scores from articulatory data using temporal decomposition
abstract
This work on the automatic generation of gestural scores from articulatory data is a follow-up to Jung (1996). The a priori information used to place gestures on the gestural score has been replaced by a statistical method based on the temporal decomposition reconstruction weights. Comparisons with Jung's gestural scores are reported.
Michael J. Collins 0004, Ashok K. Krishnamurthy 0001, Stanley C. Ahalt
 IEEE Trans. Speech Audio Process.1