Improved automatic speech recognition system using sparse decomposition by basis pursuit with deep rectifier neural networks and compressed sensing recomposition of speech signals

IEEE International Conference on Communications

Volumn , Issue , 2014, Pages

  Gavrilescu, Mihai ^a  

^a UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

Author keywords

automatic speech recognition system; basis pursuit; compressed sensing; deep rectifier neural networks; sparse signals

Indexed keywords

ACOUSTIC NOISE MEASUREMENT; COMPRESSED SENSING; DEEP NEURAL NETWORKS; RECTIFYING CIRCUITS; SIGNAL PROCESSING; SIGNAL RECONSTRUCTION; SPEECH; SPEECH COMMUNICATION;

AUTOMATIC SPEECH RECOGNITION; AUTOMATIC SPEECH RECOGNITION SYSTEM; BASIS PURSUIT; DECOMPOSITION ALGORITHM; LINEAR COMBINATIONS; SPARSE DECOMPOSITION; SPARSE SIGNALS; SPEAKER VARIABILITY;

SPEECH RECOGNITION;

EID: 84907340164     PISSN: 15503607     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICComm.2014.6866711     Document Type: Conference Paper

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