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» Process Diagnostics: A Method Based on Process Mining
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ICASSP
2011
IEEE
14 years 10 months ago
Lattice-based unsupervised acoustic model training
Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Thiago Fraga-Silva, Jean-Luc Gauvain, Lori Lamel
ICASSP
2011
IEEE
14 years 10 months ago
Training of error-corrective model for ASR without using audio data
This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that suf...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura
ICASSP
2011
IEEE
14 years 10 months ago
On the construction of low-pass filters on the unit sphere
This paper considers the problem of construction of low-pass filters on the unit sphere, which has wide ranging applications in the processing of signals on the unit sphere. We p...
Zubair Khalid, Salman Durrani, Rodney A. Kennedy, ...
ICA
2012
Springer
14 years 2 months ago
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study
Independent component analysis (ICA) is possibly the most widespread approach to solve the blind source separation (BSS) problem. Many different algorithms have been proposed, tog...
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vig&a...
ICIP
2005
IEEE
16 years 8 months ago
Multiple feature models for image matching
The common approach to image matching is to detect spatial features present in both images and create a mapping that relates both images. The main drawback of this method takes pl...
Juan Morales-Sánchez, Rafael Verdú, ...