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ICASSP
2010
IEEE
13 years 9 months ago
Maximum-likelihood-based cepstral inverse filtering for blind speech dereverberation
Current state-of-the-art speech recognition systems work quite well in controlled environments but their performance degrades severely in realistic acoustical conditions in reverb...
Kshitiz Kumar, Richard M. Stern
ICIP
2007
IEEE
13 years 9 months ago
Interlacing Intraframes in Multiple-Description Video Coding
We introduce a method to improve performance of multiple-description coding based on legacy video coders with pre- and postprocessing. The pre- and post-processing setup is genera...
Ermin Kozica, Dave Zachariah, W. Bastiaan Kleijn
EMNLP
2010
13 years 6 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
GLOBECOM
2010
IEEE
13 years 6 months ago
Learning Interference Strategies in Cognitive ARQ Networks
Cognitive radios, which enable the coexistence on the same bandwidth of licensed primary and unlicensed secondary users, have the potential for dramatically increasing the efficien...
Sina Firouzabadi, Marco Levorato, Daniel O'Neill, ...
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
14 years 3 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...