332 search results - page 42 / 67 » On the Performance of Chernoff-Distance-Based Linear Dimensi... |
139
Voted
INTERSPEECH
2010
14 years 4 months ago
2010
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
TASLP
2010
14 years 4 months ago
2010
We present a frequency-domain technique based on PARAllel FACtor (PARAFAC) analysis that performs multichannel blind source separation (BSS) of convolutive speech mixtures. PARAFAC...
94
Voted
FUZZIEEE
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
84
Voted
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
ICMCS
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...