Real-time frequency-based noise-robust Automatic Speech Recognition using Multi-Nets Artificial Neural Networks: A multi-views multi-learners approach

Neurocomputing

Volumn 129, Issue , 2014, Pages 199-207

  Shahamiri, Seyed Reza ^a   Binti Salim, Siti Salwah ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Artificial neural network; Automatic Speech Recognition; Frequency based noise; Multiple views multiple learners; Noise robustness

Indexed keywords

NEURAL NETWORKS; SPEECH;

ACOUSTIC SIGNALS; AUTOMATIC SPEECH RECOGNITION; FREQUENCY-BASED NOISE; MULTIPLE VIEWS; NOISE ROBUST ASR; NOISE ROBUSTNESS; NOISE-ROBUST AUTOMATIC SPEECH RECOGNITION; NOISY CONDITIONS;

SPEECH RECOGNITION;

ACCURACY; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATIC SPEECH RECOGNITION; CLASSIFIER; LINGUISTICS; MULTI NETS ARTIFICIAL NEURAL NETWORK; NOISE; PRIORITY JOURNAL; SPEECH DISCRIMINATION;

EID: 84893792365     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.09.040     Document Type: Article

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