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Augmented Lagrangian

NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN


Nonnegative matrix factorization (NMF) has recently been applied to temporal decomposition (TD) of speech spectral envelopes represented by line spectral frequencies. A couple of inherent TD constraints, which are otherwise handled as ad hoc exceptions, has also been incorporated using NMF, including LSF ordering and monotonic event functions. Here, these constraints are analyzed and a third inherent constraint is incorporated into an NMF analysis.

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Authors:
Miguel Arjona Ramírez
Submitted On:
27 February 2017 - 10:13pm
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ICASSP2017marjonaramirezSP-P1.10

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[1] Miguel Arjona Ramírez, "NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1468. Accessed: Feb. 27, 2020.
@article{1468-17,
url = {http://sigport.org/1468},
author = {Miguel Arjona Ramírez },
publisher = {IEEE SigPort},
title = {NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN},
year = {2017} }
TY - EJOUR
T1 - NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN
AU - Miguel Arjona Ramírez
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1468
ER -
Miguel Arjona Ramírez. (2017). NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN. IEEE SigPort. http://sigport.org/1468
Miguel Arjona Ramírez, 2017. NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN. Available at: http://sigport.org/1468.
Miguel Arjona Ramírez. (2017). "NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN." Web.
1. Miguel Arjona Ramírez. NON-NEGATIVE TEMPORAL DECOMPOSITION REGULARIZATION WITH AN AUGMENTED LAGRANGIAN [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1468