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» A Geometric Approach for Separating Several Speech Signals
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ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 28 days ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
ICA
2010
Springer
13 years 8 months ago
Adaptive Underdetermined ICA for Handling an Unknown Number of Sources
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
Andreas Sandmair, Alam Zaib, Fernando Puente Le&oa...
TSP
2008
101views more  TSP 2008»
13 years 7 months ago
Subspace-Based Algorithm for Parameter Estimation of Polynomial Phase Signals
In this correspondence, parameter estimation of a polynomial phase signal (PPS) in additive white Gaussian noise is addressed. Assuming that the order of the PPS is at least 3, the...
Yuntao Wu, Hing Cheung So, Hongqing Liu
NAACL
2003
13 years 9 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
ICASSP
2011
IEEE
12 years 11 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