ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Sparsity in the eigenspace of signal covariance matrices is exploited in this paper for compression and denoising. Dimensionality reduction (DR) and quantization modules present i...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
The similarities between unvoiced speech sounds and turbulent breath sounds were used to detect change in sound characteristics caused by narrowing of the upper airway (UA), simil...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Mobile reception of digital TV often suffers from lost blocks and slices due to suboptimal channels. Inter-sequence error concealment reconstructs lost image blocks of distorted h...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
The recent developments of smart mobile phones and 3G networks enable users to enjoy video programs by subscribing to data plans. Due to phone-to-phone communication technologies ...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
This paper introduces a novel regularization strategy to address the generalization issues for large-margin classifiers from the Empirical Risk Minimization (ERM) perspective. Fi...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Most of the echo cancellers are equipped with a double-talk detector (DTD) in order to control the behavior of the adaptive filter during double-talk situations. In this paper, w...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Compressive sensing and processing delivers high resolution data using reduced sampling rates and computational effort compared to Nyquist sensing and processing. Compressive proc...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
A scalable blind source separation paradigm aimed at sensor networks is described. The approach facilitates an unlimited number of sensors and sources and does not require a fusio...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
This paper combines a parameter generation algorithm and a model optimization approach with the model-integration-based voice conversion (MIVC). We have proposed probabilistic int...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...