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» Econometric methods of signal extraction
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IJCNN
2006
IEEE
15 years 3 months ago
Extraction of Components with Structured Variance
Abstract— We present a method for exploratory data analysis of large spatiotemporal data sets such as global longtime climate measurements, extending our previous work on semibli...
Alexander Ilin, Harri Valpola, Erkki Oja
KES
2010
Springer
14 years 8 months ago
Extracting Principal Components from Pseudo-random Data by Using Random Matrix Theory
We develop a methodology to grasp temporal trend in a stock market that changes year to year, or sometimes within a year depending on numerous factors. For this purpose, we employ ...
Mieko Tanaka-Yamawaki
ICASSP
2010
IEEE
14 years 10 months ago
Perceptual audio features for unsupervised key-phrase detection
We propose a new type of audio feature (HFCC-ENS) as well as an unsupervised method for detecting short sequences of spoken words (key-phrases) within long speech recordings. Our ...
Dirk von Zeddelmann, Frank Kurth, Meinard Mül...
ICASSP
2011
IEEE
14 years 1 months ago
Wavelet footprints for detection and sorting of extracellular neural action potentials
Spike detection and sorting is a fundamental step in the analysis of extracellular neural recording. Here, we propose a combined spike detection-feature extraction algorithm that ...
Ki Yong Kwon, Karim G. Oweiss
ICASSP
2011
IEEE
14 years 1 months ago
Pronunciation variants generation using SMT-inspired approaches
Enriching a pronunciation dictionary with phonological variation is a challenging task, not yet solved despite several decades of research, in particular for speech-to-text transc...
Panagiota Karanasou, Lori Lamel