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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
ICASSP
2010
IEEE
13 years 8 months ago
Using online model comparison in the Variational Bayes framework for online unsupervised Voice Activity Detection
This paper presents the use of online Variational Bayes method for online Voice Activity Detection (VAD) in an unsupervised context. In conventional VAD, the final step often rel...
David Cournapeau, Shinji Watanabe, Atsushi Nakamur...
ICASSP
2010
IEEE
13 years 8 months ago
Voice activity detection using harmonic frequency components in likelihood ratio test
This paper proposes a new statistical model-based likelihood ratio test (LRT) VAD to obtain reliable speech / non-speech decisions. In the proposed method, the likelihood ratio (L...
Lee Ngee Tan, Bengt J. Borgstrom, Abeer Alwan
JIIS
2006
76views more  JIIS 2006»
13 years 7 months ago
Holes in joins
A join of two relations in real databases is usually much smaller than their cartesian product. This means that most of the combinations of tuples in the crossproduct of the respe...
Jarek Gryz, Dongming Liang
ICASSP
2011
IEEE
12 years 11 months ago
Syllabification of conversational speech using Bidirectional Long-Short-Term Memory Neural Networks
Segmentation of speech signals is a crucial task in many types of speech analysis. We present a novel approach at segmentation on a syllable level, using a Bidirectional Long-Shor...
Christian Landsiedel, Jens Edlund, Florian Eyben, ...