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ICASSP
2009
IEEE
13 years 3 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
UIST
2010
ACM
13 years 4 months ago
Mixture model based label association techniques for web accessibility
An important aspect of making the Web accessible to blind users is ensuring that all important web page elements such as links, clickable buttons, and form fields have explicitly ...
Muhammad Asiful Islam, Yevgen Borodin, I. V. Ramak...
ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...
AND
2009
13 years 4 months ago
Discovering voter preferences in blogs using mixtures of topic models
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
Pradipto Das, Rohini K. Srihari, Smruthi Mukund
IEICET
2010
100views more  IEICET 2010»
13 years 3 months ago
Esophageal Speech Enhancement Based on Statistical Voice Conversion with Gaussian Mixture Models
Hironori Doi, Keigo Nakamura, Tomoki Toda, Hiroshi...