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Kathryn Momtahan

dblp:20/7342 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 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 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis › speech coding
packet loss concealment
0.012001
Linear prediction based packet loss concealment algorithm for PCM coded speech · IEEE Trans. Speech Audio Process. 2001

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

overlap-and-add · 0.0linear prediction · 0.0
YearPublicationVenuePosition
2017 Can teamwork and situational awareness (SA) in ED resuscitations be improved with a technological cognitive aid? Design and a pilot study of a team situation display
Avi Parush, George Mastoras, A. Bhandari, Kathryn Momtahan, Kathy Day, B. Weitzman, Benjamin Sohmer, A. Cwinn, Stanley J. Hamstra, L. Calder
J. Biomed. Informatics4
2011 Communication and team situation awareness in the OR: Implications for augmentative information display
Avi Parush, Chelsea Kramer, Tara Foster-Hunt, Kathryn Momtahan, Aren Hunter, Benjamin Sohmer
J. Biomed. Informatics4
2001 Linear prediction based packet loss concealment algorithm for PCM coded speech
abstract
One of the well-known problems in real-time packetized voice applications is the degradation in voice quality due to delayed or misrouted packets. When a voice packet does not arrive at the receiver on time, the receiver needs a packet loss concealment algorithm to generate a signal instead of the missing voice segment. In this paper we describe a high performance packet loss concealment algorithm for pulse code modulation (PCM) coded speech. The algorithm extracts the residual signal of the previously received speech by linear prediction analysis, uses periodic replication to generate an approximation for the excitation signal of missing speech, and generates synthesized speech using this excitation. It also performs overlap-and-adding and scaling operations to smooth out transitions at frame boundaries. The new algorithm is compared to other algorithms by subjective quality tests, and is found to be better than the existing algorithms in some cases.
Emre Gündüzhan, Kathryn Momtahan
IEEE Trans. Speech Audio Process.2