ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We show a novel approach of automatically generating minutes style extractive summaries for parliamentary speech. Minutes are structured summaries consisting of sequences of busin...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
One of the difficulties in second language (L2) learning is the weakness in discriminating between acoustic diversity within an L2 phoneme category and between different categori...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper considers the problem of joint blind source separation (J-BSS), which appears in many practical problems such as blind deconvolution or functional magnetic resonance im...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper presents an analytical investigation on the performance of optimal beamforming scheme in multiple-input multiple-output dual-hop amplify-and-forward systems. We first ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In the important domain of array shape calibration, the near-field case poses a challenging problem due to the array response complexity induced by the range effect. In this pape...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In kernel-based video object tracking, the use of single kernel often suffers from the occlusion. In order to provide more robust tracking performance, multiple inter-related kern...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Frame (upper and lower) bound ratio is a key factor of numerical stability of frame systems. While tight frames, of which the minimal ratio 1 is achieved, are much preferred in ma...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper presents a Kalman tracking approach to re-estimate clean spectral amplitude from noisy speech spectrum for re-synthesis based speech enhancement. The motivation of usin...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Due to computational bounds, most SVM-based phonotactic language recognition systems consider only low-order n-grams (up to n = 3), thus limiting the potential performance of this...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...