98 search results - page 16 / 20 » Gaussian Mixture Modeling by Exploiting the Mahalanobis Dist... |
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, we propose to use Artificial Neural Networks (ANN) for voice conversion. We have exploited the mapping abilities of ANN to perform mapping of spectral features of ...
ESANN
2007
13 years 10 months ago
2007
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
DPHOTO
2010
13 years 10 months ago
2010
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
We consider the task of under-determined reverberant audio source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a ze...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
In this work we present a method to perform a complete audiovisual source separation without need of previous information. This method is based on the assumption that sounds are c...