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» Computational Model of Speech Understanding
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IMC
2006
ACM
14 years 3 months ago
Understanding churn in peer-to-peer networks
The dynamics of peer participation, or churn, are an inherent property of Peer-to-Peer (P2P) systems and critical for design and evaluation. Accurately characterizing churn requir...
Daniel Stutzbach, Reza Rejaie
CVPR
2012
IEEE
12 years 11 days ago
Automatic discovery of groups of objects for scene understanding
Objects in scenes interact with each other in complex ways. A key observation is that these interactions manifest themselves as predictable visual patterns in the image. Discoveri...
Congcong Li, Devi Parikh, Tsuhan Chen
IMC
2007
ACM
13 years 11 months ago
Understanding the limitations of transmit power control for indoor wlans
A wide range of transmit power control (TPC) algorithms have been proposed in recent literature to reduce interference and increase capacity in 802.11 wireless networks. However, ...
Vivek Shrivastava, Dheeraj Agrawal, Arunesh Mishra...
ICPR
2010
IEEE
13 years 8 months ago
Signal-to-Signal Ratio Independent Speaker Identification for Co-channel Speech Signals
In this paper, we consider speaker identification for the co-channel scenario in which speech mixture from speakers is recorded by one microphone only. The goal is to identify both...
Rahim Saeidi, Pejman Mowlaee, Tomi Kinnunen, Zheng...
ACL
2011
13 years 1 months ago
Learning Sub-Word Units for Open Vocabulary Speech Recognition
Large vocabulary speech recognition systems fail to recognize words beyond their vocabulary, many of which are information rich terms, like named entities or foreign words. Hybrid...
Carolina Parada, Mark Dredze, Abhinav Sethy, Ariya...