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TASLP
2002
109views more  TASLP 2002»
13 years 7 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
LREC
2010
157views Education» more  LREC 2010»
13 years 9 months ago
Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...
Aleksander Wawer
SPEECH
2010
152views more  SPEECH 2010»
13 years 5 months ago
Single-channel speech enhancement using spectral subtraction in the short-time modulation domain
In this paper we investigate the modulation domain as an alternative to the acoustic domain for speech enhancement. More specifically, we wish to determine how competitive the mo...
Kuldip K. Paliwal, Kamil Wójcicki, Belinda ...
ISCAS
2005
IEEE
122views Hardware» more  ISCAS 2005»
14 years 1 months ago
A mixed analog-digital hybrid for speech enhancement purposes
Abstract— This paper presents and evaluates a hybrid implementation of a low complexity algorithm for speech enhancement, the Adaptive Gain Equalizer (AGE). The AGE is a subband ...
Benny Sallberg, Mattias Dahl, Henrik Akesson, Ingv...
ESORICS
2011
Springer
12 years 7 months ago
To Release or Not to Release: Evaluating Information Leaks in Aggregate Human-Genome Data
The rapid progress of human genome studies leads to a strong demand of aggregate human DNA data (e.g, allele frequencies, test statistics, etc.), whose public dissemination, howeve...
Xiao-yong Zhou, Bo Peng, Yong Fuga Li, Yangyi Chen...