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Kathryn M. Dobroth

dblp:40/2389 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

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

Computer networks · 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%
Computer networks
1 paper
Transport protocols and congestion control · 100%
Network and information security
1 paper
Usable security · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
automatic speech recognition
0.011991
Automating Services with Speech Recognition over the Public Switched Telephone Network: Human Factors Considerations · IEEE J. Sel. Areas Commun. 1991
Transport protocols and congestion control › real-time communication › voice communication
public switched telephone network
0.011991
Automating Services with Speech Recognition over the Public Switched Telephone Network: Human Factors Considerations · IEEE J. Sel. Areas Commun. 1991

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

user interface design · 0.0field trial · 0.0user-interface design · 0.0field trials · 0.0
YearPublicationVenuePosition
1991 Automating Services with Speech Recognition over the Public Switched Telephone Network: Human Factors Considerations
abstract
The human factors aspects of designing and introducing automated services using automatic speech recognition (ASR) over the public switched telephone networks are examined. Current applications, the problems encountered, and the lessons learned are reviewed. In addition, the authors are currently engaged in a project to introduce automation using ASR, and they discuss the five-stage approach that they are using, which is based on published accounts of previous field trials as well as current techniques for user-interface design. They also describe more advanced capabilities that will be required for both near- and far-future applications, identifying areas where research is needed and discussing the difficult problems that must be overcome. In particular, data on the vocabulary requirements of human conversations are presented.>
Demetrios Karis, Kathryn M. Dobroth
IEEE J. Sel. Areas Commun.2