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» Temporal Feature Selection for Noisy Speech Recognition
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IJDAR
2010
169views more  IJDAR 2010»
14 years 8 months ago
A Bayesian network for combining descriptors: application to symbol recognition
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
Sabine Barrat, Salvatore Tabbone
88
Voted
IKE
2008
14 years 11 months ago
Text-independent Speaker Identification Based on MAP Channel Compensation and Pitch-dependent Features
One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speake...
JiQing Han, RongChun Gao
ISCAS
2006
IEEE
162views Hardware» more  ISCAS 2006»
15 years 4 months ago
Silicon neurons that phase-lock
Abstract—We present a silicon neuron with a dynamic, active leak that enables precise spike-timing with respect to a time-varying input signal. Our neuron models the mammalian bu...
J. H. Wittig Jr., Kwabena Boahen
ICCV
2003
IEEE
15 years 12 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
SPEECH
2010
152views more  SPEECH 2010»
14 years 8 months ago
Single-channel speech enhancement using spectral subtraction in the short-time modulation domain
In this paper we investigate the modulation domain as an alternative to the acoustic domain for speech enhancement. More specifically, we wish to determine how competitive the mo...
Kuldip K. Paliwal, Kamil Wójcicki, Belinda ...