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ICASSP
2009
IEEE
13 years 11 months ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
ISBI
2004
IEEE
14 years 5 months ago
A Bayesian Approach to Image Restoration
A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, whi...
Andreas Wrangsjö, Hans Knutsson, Magnus Borga
ICASSP
2008
IEEE
13 years 11 months ago
Temporal masking for bit-rate reduction in audio codec based on Frequency Domain Linear Prediction
Audio coding based on Frequency Domain Linear Prediction (FDLP) uses auto-regressive model to approximate Hilbert envelopes in frequency sub-bands for relatively long temporal seg...
Sriram Ganapathy, Petr Motlícek, Hynek Herm...
UM
2007
Springer
13 years 10 months ago
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks
A standing question in the field of Intelligent Tutoring Systems and User Modeling in general is what is the appropriate level of model granularity (how many skills to model) and h...
Zachary A. Pardos, Neil T. Heffernan, Brigham Ande...
ICASSP
2008
IEEE
13 years 11 months ago
Speech enhancement using a pitch predictive model
In this paper we present two new methods for speech enhancement based on the previously publised ne pitch model (FPM) for voiced speech. The rst method (FPM-NE) uses the FPM to pr...
Luis Buera, Jasha Droppo, Alex Acero