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» Source Separation with Gaussian Process Models
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ICASSP
2008
IEEE
14 years 2 months ago
LSF mapping for voice conversion with very small training sets
To make voice conversion usable in practical applications, the number of training sentences should be minimized. With traditional Gaussian mixture model (GMM) based techniques sma...
Elina Helander, Jani Nurminen, Moncef Gabbouj
GLOBECOM
2008
IEEE
14 years 2 months ago
Exploiting Partial Cooperation for Source and Channel Coding in Sensor Networks
Abstract—A network with two sensors communicating a remote measurement to a common access point (AP) is investigated. The sensors are connected via out-of-band and finite-capaci...
Osvaldo Simeone
ICASSP
2011
IEEE
12 years 11 months ago
Soft frame margin estimation of Gaussian Mixture Models for speaker recognition with sparse training data
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Yan Yin, Qi Li
CORR
2006
Springer
107views Education» more  CORR 2006»
13 years 7 months ago
The Multiple Access Channel with Feedback and Correlated Sources
Abstract-- In this paper, we investigate communication strategies for the multiple access channel with feedback and correlated sources (MACFCS). The MACFCS models a wireless sensor...
Lawrence Ong, Mehul Motani
ICASSP
2011
IEEE
12 years 11 months ago
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity
This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels...
Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vin...